{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:46:05Z","timestamp":1768621565780,"version":"3.49.0"},"reference-count":133,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2020,8,22]],"date-time":"2020-08-22T00:00:00Z","timestamp":1598054400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001698","name":"Kurita Water and Environment Foundation","doi-asserted-by":"publisher","award":["19Pid017"],"award-info":[{"award-number":["19Pid017"]}],"id":[{"id":"10.13039\/501100001698","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study investigated the drivers of degradation in Southeast Asian mangroves through multi-source remote sensing data products. The degradation drivers that affect approximately half of this area are unidentified; therefore, naturogenic and anthropogenic impacts on these mangroves were studied. Various global land cover (GLC) products were harmonized and examined to identify major anthropogenic changes affecting mangrove habitats. To investigate the naturogenic factors, the impact of the water balance was evaluated using the Normalized Difference Vegetation Index (NDVI), and evapotranspiration and precipitation data. Vegetation indices\u2019 response in deforested mangrove regions depends significantly on the type of drivers. A trend analysis and break point detection of percentage of tree cover (PTC), percentage of non-tree vegetation (PNTV), and percentage of non-vegetation (PNV) datasets can aid in measuring, estimating, and tracing the drivers of change. The assimilation of GLC products suggests that agriculture and fisheries are the predominant drivers of mangrove degradation. The relationship between water balance and degradation shows that naturogenic drivers have a wider impact than anthropogenic drivers, and degradation in particular regions is likely to be a result of the accumulation of various drivers. In large-scale studies, remote sensing data products could be integrated as a remarkably powerful instrument in assisting evidence-based policy making.<\/jats:p>","DOI":"10.3390\/rs12172720","type":"journal-article","created":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T21:28:06Z","timestamp":1598218086000},"page":"2720","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Multi-Source Remote Sensing Data Product Analysis: Investigating Anthropogenic and Naturogenic Impacts on Mangroves in Southeast Asia"],"prefix":"10.3390","volume":"12","author":[{"given":"Anjar Dimara","family":"Sakti","sequence":"first","affiliation":[{"name":"Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia"},{"name":"Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia"},{"name":"Center of Sustainable Development Goals, Institut Teknologi Bandung, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0222-4748","authenticated-orcid":false,"given":"Adam Irwansyah","family":"Fauzi","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, Faculty of Regional and Infrastructure Technology, Institut Teknologi Sumatera, Lampung 35365, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felia Niwan","family":"Wilwatikta","sequence":"additional","affiliation":[{"name":"Esri Indonesia, Jakarta 12560, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoki Sepwanto","family":"Rajagukguk","sequence":"additional","affiliation":[{"name":"Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonny Adhitya","family":"Sudhana","sequence":"additional","affiliation":[{"name":"Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lissa Fajri","family":"Yayusman","sequence":"additional","affiliation":[{"name":"Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2070-9095","authenticated-orcid":false,"given":"Luri Nurlaila","family":"Syahid","sequence":"additional","affiliation":[{"name":"Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia"},{"name":"Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tanakorn","family":"Sritarapipat","sequence":"additional","affiliation":[{"name":"School of Geoinformatics, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9346-4116","authenticated-orcid":false,"given":"Jeark A.","family":"Principe","sequence":"additional","affiliation":[{"name":"Department of Geodetic Engineering, University of The Philippines Diliman, Diliman, Quezon City 1101, Philippines"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen Thi Quynh","family":"Trang","sequence":"additional","affiliation":[{"name":"Department of Remote sensing, GIS and GPS, Vietnam Space Technology Institute, Hanoi 100000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Endah","family":"Sulistyawati","sequence":"additional","affiliation":[{"name":"Forestry Technology Research Group, School of Life Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inggita","family":"Utami","sequence":"additional","affiliation":[{"name":"Biology Department, Faculty of Applied Science and Technology, Ahmad Dahlan University, Yogyakarta 55166, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3077-5934","authenticated-orcid":false,"given":"Candra Wirawan","family":"Arief","sequence":"additional","affiliation":[{"name":"Center for Environment and Sustainability Science, Universitas Padjadjaran, Bandung 40132, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ketut","family":"Wikantika","sequence":"additional","affiliation":[{"name":"Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, 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(1986). The Botany of Mangroves, Cambridge University Press."},{"key":"ref_2","unstructured":"Alongi, D.M. (2009). Introduction in the Energetics of Mangrove Forests, Springer Science and Business Media BV."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/S0065-2881(01)40003-4","article-title":"Biology of mangroves and mangrove ecosystems","volume":"40","author":"Kathiresan","year":"2001","journal-title":"Adv. Mar. Biol."},{"key":"ref_4","unstructured":"Brown, D. (2004). Mangrove: Nature\u2019s Defences against Tsunamis, Environmental Justice Foundation."},{"key":"ref_5","unstructured":"Feller, I.C., and Sitnik, M. (1996). Mangrove Ecology Workshop Manual, Smithsonian Institution."},{"key":"ref_6","first-page":"27","article-title":"Allometric Equations for Estimating Above Ground Biomass of Rhizophora Mangroves at Gazi Bay, Kenya","volume":"5","author":"Kirui","year":"2006","journal-title":"West. Indian Ocean J. Mar. Sci."},{"key":"ref_7","unstructured":"Spalding, M., Blasco, F., and Field, C. (1997). World Atlas of Mangroves, Routledge."},{"key":"ref_8","first-page":"99","article-title":"Indonesian mangroves part I: Plant diversity and vegetation","volume":"5","author":"Giesen","year":"1998","journal-title":"Trop. Biodivers."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1111\/geb.12449","article-title":"Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21)","volume":"25","author":"Hamilton","year":"2016","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1073\/pnas.1510272113","article-title":"Rates and drivers of mangrove deforestation in Southeast Asia, 2000\u20132012","volume":"113","author":"Richards","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_11","unstructured":"Fauzi., A.I., Sakti, A.D., Yayusman, L.F., Harto, A.B., Prasetyo, L.B., Irawan, B., and Wikantika, K. (2018, January 15\u201319). Evaluating Mangrove Forest Deforestation Causes in Southeast Asia by Analyzing Recent Environment and Socio-Economic Data Products. Proceedings of the 39th Asian Conference on Remote Sensing, Kuala Lumpur, Malaysia."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"6296","DOI":"10.1073\/pnas.1302558110","article-title":"Signs of Critical Transition in The Everglades Wetlands in Response to Climate and Anthropogenic Changes","volume":"10","author":"Foti","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_13","unstructured":"FAO (2007). The World\u2019s Mangroves 1980\u20132005, FAO. Forestry Paper FAO 153."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1177\/030913339001400404","article-title":"The Impact of Sea-Level Rise on Mangrove Shorelines","volume":"14","author":"Woodroffe","year":"1990","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Thomas, N., Lucas, R., Bunting, P., Hardy, A., Rosenqvist, A., and Simard, M. (2017). Distribution and drivers of global mangrove forest change 1996\u20132010. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0179302"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/s11852-016-0486-0","article-title":"Environmental drivers of decadal change of a mangrove forest in the North coast of the Yucatan peninsula, Mexico","volume":"21","year":"2017","journal-title":"J. Coast Conserv."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Songsom, V., Koedsin, W., Ritchie, R.J., and Huete, A. (2019). Mangrove Phenology and Environmental Drivers Derived from Remote Sensing in Southern Thailand. Remote Sens., 11.","DOI":"10.3390\/rs11080955"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1641\/0006-3568(2001)051[0807:MFOOTW]2.0.CO;2","article-title":"Mangrove Forests: One of The World\u2019s Threatened Major Tropical Environments","volume":"51","author":"Valiela","year":"2001","journal-title":"Bioscience"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/978-3-540-33187-2_12","article-title":"Coastal Wetland Vulnerability to Relative Sea-Level Rise: Wetland Elevation Trends and Process Controls","volume":"Volume 190","author":"Varhoeven","year":"2006","journal-title":"Wetlands and Natural Resource Management"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1016\/j.ecss.2009.11.011","article-title":"Macrobenthic invertebrate responses to prolonged drought in South Africa\u2019s largest estuarine lake complex","volume":"86","author":"MacKay","year":"2010","journal-title":"Estuar. Coast. Shelf S."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1080\/03650340410001729726","article-title":"Classification of soils supporting mangrove plantation in Kuwait","volume":"50","author":"Bhat","year":"2004","journal-title":"Arch. Agron. Soil Sci."},{"key":"ref_22","first-page":"1644","article-title":"Soil site suitability evaluation for mangrove plantation in Kuwait","volume":"22","author":"Almulla","year":"2013","journal-title":"World Appl. Sci. J."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.proenv.2015.01.032","article-title":"Evaluation and planning of mangrove restoration programs in Sedari Village of Kerawang District, West Java: Contribution of PHE-ONWJ coastal development programs","volume":"23","author":"Nusantara","year":"2015","journal-title":"Procedia Environ. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"61","DOI":"10.2307\/1351957","article-title":"Soil characteristics and nutrient status in a Nothern Australian mangrove forest","volume":"7","author":"Boto","year":"1984","journal-title":"Estuaries"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1672\/0277-5212(2004)024[0051:SRROTP]2.0.CO;2","article-title":"Soil respiration rates of tropical peatlands in Micronesia and Hawaii","volume":"24","author":"Chimner","year":"2004","journal-title":"Wetlands"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2539","DOI":"10.1890\/03-0745","article-title":"Physical and biotic drivers of plaant distribution across estuarine salinity gradients","volume":"85","author":"Crain","year":"2004","journal-title":"Ecology"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1111\/btp.12251","article-title":"The role of soil nutrients in boundaries between mangrove and herbaceous assemblages in a tropical estuary","volume":"47","author":"Ribeiro","year":"2015","journal-title":"Biotropica"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"213","DOI":"10.2307\/2258216","article-title":"The mangrove swamp and salt marsh communities of the Sydney District: II. the holocoenotic complex with particular reference to physiography","volume":"57","author":"Clarke","year":"1969","journal-title":"J. Ecol."},{"key":"ref_29","unstructured":"Primavera, J.H., Savaris, J.D., Bajoyo, B., Coching, J.D., Curnick, D.J., Golbeque, R., Guzman, A.T., Henderin, J.Q., Joven, R.V., and Loma, R.A. (2012). Manual on Community-Based Mangrove Rehabilitation - Mangrove Manual Series No.1, Zoological Society of London."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.catena.2016.03.041","article-title":"Effects of sea-level rise and climatic changes on mangroves from southwestern littoral of Puerto Rico during the middle and late holocene","volume":"143","author":"Cohen","year":"2016","journal-title":"Catena"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ecss.2019.106353","article-title":"Assessing the distribution and drivers of maangrove dieback in Kakadu National Paark, nothern Australia","volume":"228","author":"Asbridge","year":"2019","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1016\/j.mex.2018.09.011","article-title":"An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery","volume":"5","author":"Gupta","year":"2018","journal-title":"MethodsX"},{"key":"ref_33","first-page":"168","article-title":"Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data","volume":"8","author":"Ahmed","year":"2017","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.rse.2017.11.009","article-title":"Remote sensing of mangrove forest phenology and its environmental drivers","volume":"205","author":"Dash","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2317","DOI":"10.1007\/s11430-014-4919-z","article-title":"A multi-resolution global land cover dataset through multisource data aggregation","volume":"57","author":"Yu","year":"2014","journal-title":"Sci. China Earth Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"041502","DOI":"10.1117\/1.JRS.12.041502","article-title":"Availability of global and national scale land cover products and their accuracy in mountainous areas of Ethiopia: A review","volume":"12","author":"Hailu","year":"2018","journal-title":"J. Appl. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Pendrill, F., and Persson, U.M. (2017). Combining global land cover datasets to quantify agricultural expansion into forests in Latin America: Limitations and challenges. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0181202"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Hoyos, A., Rembold, F., Kerdiles, H., and Gallego, J. (2017). Comparison of Global Land Cover Datasets for Cropland Monitoring. Remote Sens., 9.","DOI":"10.3390\/rs9111118"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1080\/17538947.2016.1217942","article-title":"Integrating global land cover datasets for deriving user-specific maps","volume":"10","author":"Tsendbazar","year":"2017","journal-title":"Int. J. Digit. Earth"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1111\/j.1466-8238.2010.00584.x","article-title":"Status and distribution of mangrove forests of the world using earth observation satellite data","volume":"20","author":"Giri","year":"2011","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1126\/science.1244693","article-title":"High-Resolution Global Maps of 21st-Century Forest Cover Change","volume":"342","author":"Hansen","year":"2013","journal-title":"Science"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1038\/nclimate1452","article-title":"A decade of seather extremes","volume":"2","author":"Coumou","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1126\/sciadv.aar5809","article-title":"Climate models predict increasing temperaature variability in poor countries","volume":"4","author":"Bathiany","year":"2018","journal-title":"Sci. Adv."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.gloenvcha.2003.10.006","article-title":"Climate change and global water resources: SRES emissions and socio-economic scenarios","volume":"14","author":"Arnell","year":"2004","journal-title":"Glob. Environ. Chang."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1038\/486183a","article-title":"Climate models at their limit?","volume":"486","author":"Maslin","year":"2012","journal-title":"Nature"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"16063","DOI":"10.1038\/s41598-019-52277-4","article-title":"Frequency of extreme precipitation increases extensively with event rareness under global warming","volume":"9","author":"Myhre","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1002\/2013GL058499","article-title":"Detection of spatially aggregated changes in temperature and precipitation extremes","volume":"41","author":"Fischer","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.1071\/MF16322","article-title":"Large-Scale Dieback of Mangroves in Australia\u2019s Gulf of Carpentaria: A Severe Ecosystem Response, Coincidental with an Unusually Extreme Weather Event","volume":"68","author":"Duke","year":"2017","journal-title":"Mar. Freshw. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.2112\/JCOASTRES-D-14-00065.1","article-title":"Quantifying Extreme Weather Event Impacts on the Northern Gulf Coast Using Landsat Imagery","volume":"31","author":"Jones","year":"2015","journal-title":"J. Coast. Res."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Pettorelli, N. (2013). The Normalized Difference Vegetation Index, Oxford University Press.","DOI":"10.1093\/acprof:osobl\/9780199693160.001.0001"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.ocecoaman.2015.06.005","article-title":"Mapping Mangrove Changes in The Matang Mangrove Forest Using Multi Temporal Satellite Imageries","volume":"114","author":"Ibharim","year":"2015","journal-title":"Ocean Coast. Manag."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Fauzi, A., Sakti, A., Yayusman, L., Harto, A., Prasetyo, L., Irawan, B., Kamal, M., and Wikantika, K. (2019). Contextualizing Mangrove Forest Deforestation in Southeast Asia Using Environmental and Socio-Economic Data Products. Forests, 10.","DOI":"10.3390\/f10110952"},{"key":"ref_53","unstructured":"Spalding, M., Kainuma, M., and Collins, L. (2010). World Atlas of Mangrove, Version 3.0, Earthscan. A collaborative project of ITTO, ISME, FAO, UNEP-WCMC, UNESCO-MAB, UNU-INWEH and TNC."},{"key":"ref_54","unstructured":"Saputro, G.B., Hartini, S., Sukardjo, S., Susanto, A., and Poniman, A. (2012). Peta Mangroves Indonesia, Bakosurtanal."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Bunting, P., Rosenqvist, A., Lucas, R.M., Rebelo, L.-M., Hilarides, J., Thomas, N., Hardy, A., Itoh, T., Shimada, M., and Finlayson, C.M. (2018). The global mangrove watch\u2013a new 2010 global baseline of mangrove extent. Remote Sens., 10.","DOI":"10.3390\/rs10101669"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1641\/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2","article-title":"Terrestrial Ecoregions of the World: A New Map of Life on Earth: A new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity","volume":"51","author":"Olson","year":"2001","journal-title":"BioScience"},{"key":"ref_57","unstructured":"Friedl, M., and Sulla-Menashe, D. (2015). MCD12Q1 MODIS\/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006 [Data set]. NASA EOSDIS Land Process. DAAC."},{"key":"ref_58","unstructured":"Carroll, M.L., DiMiceli, C.M., Wooten, M.R., Hubbard, A.B., Sohlberg, R.A., and Townshend, J.R.G. (2017). MOD44W MODIS\/Terra Land Water Mask Derived from MODIS and SRTM L3 Global 250m SIN Grid V006 [Data set]. NASA EOSDIS Land Process. DAAC."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Pesaresi, M., Ehrlich, D., Ferri, S., Florczyk, A.J., Freire, S., Halkia, S., Julea, A.M., Kemper, T., Soille, P., and Syrris, V. (2016). Operating Procedure for the Production of the Global Human Settlement Layer from Landsat Data of the Epochs 1975, 1990, 2000, and 2014, Publications Oce of the European Union EUR 27741 EN.","DOI":"10.1109\/IGARSS.2016.7730897"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"927","DOI":"10.5194\/essd-9-927-2017","article-title":"Anthropogenic land-use estimates for the Holocene\u2014HYDE 3.2","volume":"9","author":"Goldewijk","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_61","unstructured":"(2019, August 08). NGDC NOAA, Version 4 DMSP-OLS Nighttime Lights Time Series, Available online: https:\/\/ngdc.noaa.gov\/eog\/dmsp\/downloadV4composites.html."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"180004","DOI":"10.1038\/sdata.2018.4","article-title":"Gridded global datasets for Gross Domestic Product and Human Development Index over 1990\u20132015","volume":"5","author":"Kummu","year":"2018","journal-title":"Sci. Data"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1080\/23754931.2015.1014272","article-title":"Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4","volume":"1","author":"MacManus","year":"2015","journal-title":"Pap. Appl. Geogr."},{"key":"ref_64","unstructured":"ESA-European Space Agency (2017). Land Cover CCI Product User Guide, Version 2, European Space Agency. ESA CCI LC Project."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote. Sens. Environ."},{"key":"ref_66","unstructured":"Bontemps, S., Defourny, P., Van Bogaert, E., Arino, O., Kalogirou, V., and Ramos P\u00e9rez, J. (2019, June 12). GlobCover 2009. Products Description and Validation Report. Available online: http:\/\/due.esrin.esa.int\/files\/GLOBCOVER2009_Validation_Report_2.2.pdf."},{"key":"ref_67","unstructured":"Bicheron, P., Huc, M., Henry, C., Bontemps, S., and Lacaux, J.P. (2008). GlobCover Products Description Manual, European Space Agency."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1080\/17538941003777521","article-title":"Production of global land cover data\u2014GLCMO","volume":"4","author":"Tateishi","year":"2011","journal-title":"Int. J. Digit. Earth"},{"key":"ref_69","first-page":"99","article-title":"Production of Global Land Cover Data\u2014GLCNMO2008","volume":"6","author":"Tateishi","year":"2014","journal-title":"J. Geogr. Geol."},{"key":"ref_70","unstructured":"Didan, K. (2015). MOD13Q1 MODIS\/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V006 [Data set]. NASA EOSDIS Land Process. DAAC."},{"key":"ref_71","unstructured":"Didan, K. (2015). MOD13A1 MODIS\/Terra Vegetation Indices 16-Day L3 Global 500m SIN Grid V006 [Data set]. NASA EOSDIS Land Process. DAAC."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Hu, T., Su, Y., Xue, B., Liu, J., Zhao, X., Fang, J., and Guo, Q. (2016). Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data. Remote Sens., 8.","DOI":"10.3390\/rs8070565"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"3999","DOI":"10.1080\/01431160310001654923","article-title":"Narrow band vegetation indices overcome the saturation problem in biomass estimation","volume":"25","author":"Mutanga","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1038\/s41597-020-0444-4","article-title":"Harmonized global maps of above and belowground biomass carbon density in the year 2010","volume":"7","author":"Spawn","year":"2020","journal-title":"Sci. Data"},{"key":"ref_75","unstructured":"Running, S., and Mu, Q. (2015). MOD16A2 MODIS\/Terra Evapotranspiration 8-day L4 Global 500m SIN Grid. NASA LP DAAC."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"150066","DOI":"10.1038\/sdata.2015.66","article-title":"The climate hazards infrared precipitation with stations\u2014A new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1175\/1520-0477(2001)082<0205:ARTGHH>2.3.CO;2","article-title":"A Real-Time Global Half-Hourly Pixel-Resolution Infrared Dataset and Its Applications","volume":"82","author":"Janowiak","year":"2001","journal-title":"Bull. Amer. Meteor. Soc."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1175\/2010BAMS3001.1","article-title":"The NCEP Climate Forecast System Reanalysis","volume":"91","author":"Saha","year":"2010","journal-title":"Bull. Amer. Meteor. Soc."},{"key":"ref_79","unstructured":"Peterson, P., Funk, C.C., Landsfeld, M.F., Husak, G.J., Pedreros, D.H., Verdin, J.P., Rowland, J., Shukla, S., McNally, A., and Michaelsen, J. (2014, January 15\u201319). The Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) Dataset: Quasi-Global Precipitation Estimates for Drought Monitoring and Trend Analysis. Proceedings of the American Geophysical Union Fall Meeting, San Francisco, CA, USA."},{"key":"ref_80","unstructured":"Dimiceli, C., Carroll, M., Sohlberg, R., Kim, D.H., Kelly, M., and Townshend, J.R.G. (2015). MOD44B MODIS\/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006 [Data set]. NASA EOSDIS Land Process. DAAC."},{"key":"ref_81","unstructured":"Herold, M., and Schmullius, C. (2004). Report on the Harmonization of Global and Regional Land Cover Products Meeting, FAO. Available online: https:\/\/gofcgold.org\/sites\/default\/files\/docs\/GOLD_20.pdf."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1109\/TGRS.2006.871219","article-title":"A joint initiative for harmonization and validation of land cover datasets","volume":"44","author":"Herold","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s40808-018-0529-7","article-title":"Mapping and monitoring of mangrove along the Odisha coast based on remote sensing and GIS techniques","volume":"5","author":"Roy","year":"2019","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_84","first-page":"100280","article-title":"Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation","volume":"17","author":"Rhyma","year":"2020","journal-title":"Remote Sens. Appl."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"2970","DOI":"10.1016\/j.rse.2010.08.003","article-title":"Phenological change detection while accounting for abrupt and gradual trends in satellite image time series","volume":"114","author":"Verbesselt","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/jae.659","article-title":"Computation and analysis of multiple structural change models","volume":"18","author":"Bai","year":"2003","journal-title":"J. Appl. Econom."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"2113","DOI":"10.3390\/rs5052113","article-title":"Trend change detection in NDVI time series: Effects of inter-annual variability and methodology","volume":"5","author":"Forkel","year":"2013","journal-title":"Remote Sens."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1093\/aob\/mcu174","article-title":"Regulation of water balance in mangroves","volume":"115","author":"Reef","year":"2015","journal-title":"Ann. Bot."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s10750-014-2091-2","article-title":"The use of fresh and saline water sources by the mangrove Avicennia marina","volume":"745","author":"Santini","year":"2015","journal-title":"Hydrobiologia"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1080\/20964471.2019.1663627","article-title":"A global land cover map produced through integrating multi-source datasets","volume":"3","author":"Feng","year":"2019","journal-title":"Big Earth Data"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1038\/s41597-019-0155-x","article-title":"GCN250, new global gridded curve numbers for hydrologic modeling and design","volume":"6","author":"Jaafar","year":"2019","journal-title":"Sci. Data"},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Buchhorn, M., Lesiv, M., Tsendbazar, N.-E., Herold, M., Bertels, L., and Smets, B. (2020). Copernicus Global Land Cover Layers\u2014Collection 2. Remote Sens., 12.","DOI":"10.3390\/rs12061044"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"170001","DOI":"10.1038\/sdata.2017.1","article-title":"High resolution global gridded data for use in population studies","volume":"4","author":"Lloyd","year":"2017","journal-title":"Sci. Data"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3390\/rs5010019","article-title":"Harmonizing and Combining Existing Land Cover\/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale","volume":"5","author":"Vancutsem","year":"2013","journal-title":"Remote Sens."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1080\/10095020.2017.1323522","article-title":"Improving global land cover characterization through data fusion","volume":"20","author":"Song","year":"2017","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1016\/j.rse.2007.11.013","article-title":"Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets","volume":"112","author":"Herold","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1007\/s11430-016-5327-3","article-title":"A comparative analysis of five global cropland datasets in China","volume":"59","author":"Lu","year":"2016","journal-title":"Sci. China Earth Sci."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"170075","DOI":"10.1038\/sdata.2017.75","article-title":"A global dataset of crowdsourced land cover and land use reference data","volume":"4","author":"Fritz","year":"2017","journal-title":"Sci. Data"},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.isprsjprs.2017.01.016","article-title":"Accuracy assessment of seven global land cover datasets Journal Pre-proof Journal Pre-proof over China","volume":"125","author":"Yang","year":"2017","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"048501","DOI":"10.1117\/1.JRS.13.048501","article-title":"Assessing inconsistency in global land cover products and synthesis of studies on land use and land cover dynamics during 2001 to 2017 in the southeastern region of Bangladesh","volume":"13","author":"Islam","year":"2019","journal-title":"J. Appl. Remote Sens."},{"key":"ref_101","unstructured":"Barnabe, G. (1990). Aquaculture, Ellis Horwood."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.gloenvcha.2013.10.007","article-title":"Deforestation in the Ayeyarwady Delta and the conservation implications of an internationally-engaged Myanmar","volume":"24","author":"Webb","year":"2014","journal-title":"Glob. Environ. Chang."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.ocecoaman.2014.11.006","article-title":"The effects of urbanization on coastal habitats and the potential for ecological engineering: A Singapore case study","volume":"103","author":"Lai","year":"2015","journal-title":"Ocean Coast. Manag."},{"key":"ref_104","unstructured":"Weier, J., and Herring, D. (2020, April 24). Measuring Vegetation (NDVI & EVI), Available online: https:\/\/earthobservatory.nasa.gov\/features\/MeasuringVegetation."},{"key":"ref_105","doi-asserted-by":"crossref","unstructured":"Cai, Z., Jonsson, P., Jin, H., and Eklundh, L. (2017). Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data. Remote Sens., 9.","DOI":"10.3390\/rs9121271"},{"key":"ref_106","unstructured":"Obstler, R. (2011). NDVI as indicator of degradation. Measuring Forest Degradation, Food and Agriculture Organization of the United Nations. Unasylva No. 238."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.rse.2014.09.010","article-title":"Detecting changes in vegetation trends using time series segmentation","volume":"156","author":"Jamali","year":"2015","journal-title":"Remote. Sens. Environ."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2013A normalized difference water index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Cancela, J.J., Gonzalez, X.P., Vilanova, M., and Miras-Avalos, J.M. (2019). Water Management Using Drones and Satellites in Agriculture. Water, 11.","DOI":"10.3390\/w11050874"},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Marusig, D., Petruzzellis, F., Tomasella, M., Napolitano, R., Altobelli, A., and Nardini, A. (2020). Correlation of Field-Measured and Remotely Sensed Plant Water Status as a Tool to Monitor the Risk of Drought-Induced Forest Decline. Forests, 11.","DOI":"10.3390\/f11010077"},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"15919","DOI":"10.1038\/srep15919","article-title":"Highly sensitive image-derived indices of water-stressed plants using hyperspectral imaging in SWIR and histogram analysis","volume":"5","author":"Kim","year":"2015","journal-title":"Sci. Rep."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"1588","DOI":"10.3390\/rs5041588","article-title":"Estimating Crop Coefficients Using Remote Sensing-Based Vegetation Index","volume":"5","author":"Kamble","year":"2013","journal-title":"Remote Sens."},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Kumar, J., Hoffman, F.M., Hargrove, W.W., and Collier, N. (2016). Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. J. Earth Syst. Sci. Data.","DOI":"10.5194\/essd-2016-36"},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Rodda, S.R., Thumaty, K.C., Jha, C.S., and Dadhwal, V.K. (2016). Seasonal Variations of Carbon Dioxide, Water Vapor and Energy Fluxes in Tropical Indian Mangroves. Forests, 7.","DOI":"10.3390\/f7020035"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"111223","DOI":"10.1016\/j.rse.2019.111223","article-title":"A Review of Remote Sensing for Mangrove Forests: 1956\u20132018","volume":"231","author":"Wang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_117","unstructured":"Smith, M. (1994). CROPWAT\u2014A Computer Program for Irrigation Planning and Management. Irrigation and Drainage Paper, Food and Agriculture Organization of the UN."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"7287","DOI":"10.1080\/01431161.2019.1579944","article-title":"Discriminating between large-scale oil palm plantations and smallholdings on tropical peatlands using vegetation indices and supervised classification of LANDSAT-8","volume":"40","author":"Oon","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.4236\/jep.2017.812093","article-title":"Development of Global Cropland Agreement Level Analysis by Integrating Pixel Similarity of Recent Global Land Cover Datasets","volume":"8","author":"Sakti","year":"2017","journal-title":"J. Environ. Prot."},{"key":"ref_120","first-page":"14","article-title":"Dynamics of rice production in Myanmar: Growth centers, technological changes, and driving forces","volume":"53","author":"Matsuda","year":"2009","journal-title":"Trop. Agric. Dev."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.landusepol.2016.03.010","article-title":"A historical analysis of the drivers of loss and degradation of Indonesia\u2019s mangroves","volume":"54","author":"Ilman","year":"2016","journal-title":"Land Use Policy"},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1023\/A:1011169025815","article-title":"Depletion of the mangroves of Continental Asia","volume":"9","author":"Blasco","year":"2001","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_123","unstructured":"Storey, D. (2015). A Socio-Ecological Assessment of Mangrove Areas in Sittwe, Pauktaw, Minbya, and Myebon Townships, North Rakhine State, REACH."},{"key":"ref_124","unstructured":"Plathong, S., and Plathong, J. (2004). Past and Present Threats on mangrove ecosystem in peninsular Thailand. Coastal Biodiversity in Mangrove Ecosystems: Paper Presented in UNU-INWEH-UNESCO International Training Course, Held at Centre of Advanced Studies, Annamalai University."},{"key":"ref_125","first-page":"89","article-title":"Lesson Learned from Mangrove Rehabilitation Program in Indonesia","volume":"7","author":"Kusmana","year":"2017","journal-title":"J. Pengelolaan Sumberd. Alam Dan Lingkung."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1038\/d41586-019-00122-z","article-title":"How Much Can Forests Fight Climate Change?","volume":"565","author":"Popkin","year":"2019","journal-title":"Nature"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1038\/nature23285","article-title":"Global forest loss disproportionately erodes biodiversity in intact landscapes","volume":"547","author":"Betts","year":"2017","journal-title":"Nature"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"4844","DOI":"10.1038\/s41467-019-12808-z","article-title":"New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding","volume":"10","author":"Kulp","year":"2019","journal-title":"Nat. Commun."},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Sakti, A.D., and Takeuchi, W. (2020). A Data-Intensive Approach to Address Food Sustainability: Integrating Optic and Microwave Satellite Imagery for Developing Long-Term Global Cropping Intensity and Sowing Month from 2001 to 2015. Sustainability, 12.","DOI":"10.3390\/su12083227"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1038\/s41597-019-0048-z","article-title":"High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model","volume":"6","author":"Zhou","year":"2019","journal-title":"Sci. Data"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"7117","DOI":"10.1038\/s41598-020-63880-1","article-title":"Global trends in mangrove forest fragmentation","volume":"10","author":"Connolly","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1146\/annurev-environ-101718-033302","article-title":"The State of the World\u2019s Mangrove Forests: Past, Present, and Future","volume":"44","author":"Friess","year":"2019","journal-title":"Annu. Rev. Environ. Resour."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/17\/2720\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:05:16Z","timestamp":1760177116000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/17\/2720"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,22]]},"references-count":133,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["rs12172720"],"URL":"https:\/\/doi.org\/10.3390\/rs12172720","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,22]]}}}