{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T02:27:11Z","timestamp":1772850431672,"version":"3.50.1"},"reference-count":81,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,2,14]],"date-time":"2022-02-14T00:00:00Z","timestamp":1644796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014836","name":"Agenzia Italiana per la Cooperazione allo Sviluppo","doi-asserted-by":"publisher","award":["5.2.1.3"],"award-info":[{"award-number":["5.2.1.3"]}],"id":[{"id":"10.13039\/501100014836","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Forests"],"abstract":"<jats:p>Aboveground biomass (AGB) estimation plays a crucial role in forest management and carbon emission reporting, especially for developing countries wishing to address REDD+ projects. Both passive and active remote-sensing technologies can provide spatially explicit information of AGB by using a limited number of field samples, thus reducing the substantial budgetary cost of field inventories. The aim of the current study was to estimate AGB in the Niassa Special Reserve (NSR) using fusion of optical (Landsat 8\/OLI and Sentinel 2A\/MSI) and radar (Sentinel 1B and ALOS\/PALSAR-2) data. The performance of multiple linear regression models to relate ground biomass with different combinations of sensor data was assessed using root-mean-square error (RMSE), and the Akaike and Bayesian information criteria (AIC and BIC). The mean AGB and carbon stock (CS) estimated from field data were estimated at 56 Mg ha\u22121 (ranging from 11 to 95 Mg ha\u22121) and 28 MgC ha\u22121, respectively. The best model estimated AGB at 63 \u00b1 20.3 Mg ha\u22121 for NSR, ranging from 0.6 to 200 Mg ha\u22121 (r2 = 87.5%, AIC = 123, and BIC = 51.93). We obtained an RMSE % of 20.46 of the mean field estimate of 56 Mg ha\u22121. The estimation of AGB in this study was within the range that was reported in the existing literature for the miombo woodlands. The fusion of vegetation indices derived from Landsat\/OLI and Sentinel 2A\/MSI, and backscatter from ALOS\/PALSAR-2 is a good predictor of AGB.<\/jats:p>","DOI":"10.3390\/f13020311","type":"journal-article","created":{"date-parts":[[2022,2,14]],"date-time":"2022-02-14T20:26:42Z","timestamp":1644870402000},"page":"311","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Modelling Aboveground Biomass of Miombo Woodlands in Niassa Special Reserve, Northern Mozambique"],"prefix":"10.3390","volume":"13","author":[{"given":"Orlando A.","family":"Macave","sequence":"first","affiliation":[{"name":"MRV Unit from FNDS (National Fund for Sustainable Development), Ministry of Agriculture and Rural Development, Maputo City P.O. Box n\u00b0 1406, Mozambique"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5369-5905","authenticated-orcid":false,"given":"Natasha S.","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Faculty of Agronomy and Forest Engineering, Eduardo Mondlane University, Maputo 3453, Mozambique"},{"name":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22903, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6071-6460","authenticated-orcid":false,"given":"Ana I.","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Forest Research Center (CEF) and Lab Terra, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]},{"given":"Aniceto","family":"Cha\u00faque","sequence":"additional","affiliation":[{"name":"Faculty of Agronomy and Forest Engineering, Eduardo Mondlane University, Maputo 3453, Mozambique"}]},{"given":"Romana","family":"Bandeira","sequence":"additional","affiliation":[{"name":"Faculty of Agronomy and Forest Engineering, Eduardo Mondlane University, Maputo 3453, Mozambique"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8294-7924","authenticated-orcid":false,"given":"Cristina","family":"Branquinho","sequence":"additional","affiliation":[{"name":"Centre for Ecology and Environmental Changes (CE3C), Faculty of Sciences, University of Lisbon, 1349-017 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6874-5488","authenticated-orcid":false,"given":"Robert","family":"Washington-Allen","sequence":"additional","affiliation":[{"name":"Department of Agriculture, Veterinary & Rangeland Sciences, University of Nevada, Reno, NV 89557, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,14]]},"reference":[{"key":"ref_1","unstructured":"Eastman, J.R., and Idrisi, A. (2006). Guide to GIS and Image Processing, Clark Laboratory Clark University."},{"key":"ref_2","unstructured":"Fehrmann, L., and Kleinn, C. (2005). Nearest Neighbour Approach for Estimation of single\u2013Tree Biomass, Proceedings of the Seventh Annual Forest Inventory and Analysis Symposium."},{"key":"ref_3","unstructured":"PCC (2021, December 10). Good Practice Guidance for Land Use, Land-Use Change and forestry. National Inventory Reports. Available online: https:\/\/www.ipcc-nggip.iges.or.jp\/public\/gpglulucf\/gpglulucf_files\/GPG_LULUCF_FULL.pdf."},{"key":"ref_4","unstructured":"World Wide Fund for Nature (WWF) (2012). Miombo Eco-region Report \u201cHome of the Zambezi\u201d. Conservation Strategy: 2011\u20132020, World Wide Fund for Nature (WWF)."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ribeiro, N., Katerere, Y., Chirwa, P.W., and Grundy, I.M. (2020). Scenarios for Just and Sustainable Futures in the Miombo Woodlands. Miombo Woodlands in a Changing Environment: Securing the Resilience and Sustainability of People and Woodlands, Springer Nature.","DOI":"10.1007\/978-3-030-50104-4"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"a721","DOI":"10.4102\/abc.v25i1.721","article-title":"Vegetation structure and small-scale pattern in Miombo woodland, Marondera","volume":"25","author":"Campbell","year":"1995","journal-title":"Bothalia"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1017\/S0376892913000210","article-title":"Estimating tree biomass and changes in root biomass following clear-cutting of Brachystegia-Julbernardia (Miombo) woodland in central Zambia","volume":"41","author":"Chidumayo","year":"2013","journal-title":"Environ. Conserv."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"20150312","DOI":"10.1098\/rstb.2015.0312","article-title":"Ecosystem services from Southern African woodlands and their future under global change","volume":"371","author":"Ryan","year":"2016","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"ref_9","unstructured":"Community (GIZ\/SADC) (2014). Field Inventory Results: Transboundary Test Area Malawi-Zambia, Consortium GAF AG and DFS Deutsche Forstservice GmbH."},{"key":"ref_10","unstructured":"FAO (2010). The State of Food Insecurity in the World. Addressing Food and Insecurity in Protracted Crises, FAO."},{"key":"ref_11","first-page":"51","article-title":"The role of community forest management in REDD+","volume":"63","author":"Skutsch","year":"2012","journal-title":"Unasylva"},{"key":"ref_12","unstructured":"MITADER (2018). Invent\u00e1rio Florestal Nacional."},{"key":"ref_13","unstructured":"Centro de Estudos de Agricultura e Gest\u00e3o de Recursos Naturais (CEAGRE)\/Winrock (2016). Identifica\u00e7\u00e3o e an\u00e1lise dos agentes e causas directas e indirectas de desmatamento e degrada\u00e7\u00e3o florestal em Mo\u00e7ambique. Final Report, UEM."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"014002","DOI":"10.1088\/1748-9326\/6\/1\/014002","article-title":"Monitoring, reporting and verification for national REDD + programmes: Two proposals","volume":"6","author":"Herold","year":"2011","journal-title":"Res. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/1750-0680-8-11","article-title":"Monitoring vegetation dynamics and carbon stock density in miombo woodlands","volume":"8","author":"Ribeiro","year":"2013","journal-title":"Carbon Balance Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"788","DOI":"10.3390\/rs70100788","article-title":"Modeling aboveground biomass in dense tropical submontane rainforest using airborne laser scanner data","volume":"7","author":"Hansen","year":"2015","journal-title":"Remote Sens."},{"key":"ref_17","unstructured":"IPCC (Intergoveramental Panel on Climate Change) (2003). Good Practice Guidance for Land Use, Land-Use Change and forestry. National Inventory Reports, Available online: https:\/\/www.ipcc-nggip.iges.or.jp\/public\/gpglulucf\/gpglulucf.html."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.rse.2016.01.006","article-title":"Mapping and estimating forest area and aboveground biomass in miombo woodlands in Tanzania using data from airborne laser scanning, TanDEM-X, RapidEye, and global forest maps as auxiliary information: A comparison of estimated precision","volume":"175","author":"Solberg","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_19","unstructured":"Sitoe, A., Guedes, B.S., and Nhantumbo, I. (2013). Linha de refer\u00eancia, Monitoria, Relat\u00f3rio e Verifica\u00e7\u00e3o para REDD+ em Mo\u00e7ambique. Relat\u00f3rio do Pais, IIED."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Houghton, R.A., Hall, F.G., and Goetz, S.J. (2009). The importance of biomass in the global carbon cycle. J. Geophys. Res. Biogeosci., 114.","DOI":"10.1029\/2009JG000935"},{"key":"ref_21","unstructured":"Tcha\u00faque, F.J. (2004). Biomassa florestal acima do solo na regi\u00e3o do Corredor da Beira. Tese de Licenciatura em Engenharia Florestal, Faculdade de Agronomia e Engenharia Florestal, Universidade Eduardo Mondlane."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ribeiro, N.S., Saatchi, S.S., Shugart, H.H., and Washington-Allen, R. (2008). Aboveground biomass and leaf area index (LAI) mapping for niassa reserve, Northern Mozambique. J. Geophys. Res. Biogeosci., 113.","DOI":"10.1029\/2007JG000550"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"9899","DOI":"10.1073\/pnas.1019576108","article-title":"Benchmark map of forest carbon stocks in tropical regions across three continents","volume":"108","author":"Saatchi","year":"2011","journal-title":"Proc. Nat. Acad. Sci. USA"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"535","DOI":"10.3390\/f5030535","article-title":"Biomass equations for tropical forest tree species in Mozambique","volume":"5","author":"Mate","year":"2014","journal-title":"Forests"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1186\/s40663-015-0053-4","article-title":"Live above- and belowground biomass of a Mozambican evergreen forest: A comparison of estimates based on regression equations and biomass expansion factors","volume":"2","year":"2015","journal-title":"For. Ecosyst."},{"key":"ref_26","first-page":"e00374","article-title":"Allometric models for managing lowland miombo woodlands of the Beira corridor in Mozambique","volume":"13","author":"Guedes","year":"2018","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1186\/s13021-018-0111-7","article-title":"Biomass allometric equation and expansion factor for a mountain moist evergreen forest in Mozambique","volume":"13","author":"Lisboa","year":"2018","journal-title":"Carbon Balance Manag."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.rse.2014.08.028","article-title":"Estimation for inaccessible and non-sampled forest areas using model-based inference and remotely sensed auxiliary information","volume":"154","author":"McRoberts","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Esteban, J., McRoberts, R.E., Fern\u00e1ndez, A., Tom\u00e9, J.L., and Marchamalo, M. (2020). A model-based volume estimator that accounts for both land cover misclassification and model prediction uncertainty. Remote Sens., 12.","DOI":"10.3390\/rs12203360"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2861","DOI":"10.1016\/j.rse.2010.02.022","article-title":"Measuring biomass changes due to woody encroachment and deforestation\/degradation in a forest\u2013savanna boundary region of central Africa using multi-temporal L-band radar backscatter","volume":"115","author":"Mitchard","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1038\/nclimate1354","article-title":"Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps","volume":"2","author":"Baccini","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.1126\/science.1217962","article-title":"Baseline map of carbon emissions from deforestation in tropical regions","volume":"336","author":"Harris","year":"2012","journal-title":"Science"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.rse.2012.10.023","article-title":"Using satellite image-based maps and ground inventory data to estimate the area of the remaining Atlantic forest in the Brazilian state of Santa Catarina","volume":"130","author":"Vibrans","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_34","unstructured":"Watzlawick, L.F. (2009). Estimativa de Biomassa e Carbono em Floresta Ombr\u00f3fila Mista e Planta\u00e7\u00f5es Florestais a Partir de Dados de Imagens do Sat\u00e9lite Ikonos II, UFPR."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1186\/s13021-018-0093-5","article-title":"Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico","volume":"13","author":"Urbazaev","year":"2018","journal-title":"Carbon Balance Manag."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1111\/j.1744-7429.2010.00713.x","article-title":"Above- and Belowground Carbon Stocks in a Miombo Woodland Landscape of Mozambique","volume":"43","author":"Ryan","year":"2012","journal-title":"Biotropica"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.3390\/rs5041524","article-title":"Estimating the above-ground biomass in Miombo savanna woodlands (Mozambique, East Africa) using L-band synthetic aperture radar data","volume":"5","author":"Carreiras","year":"2013","journal-title":"Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"39","DOI":"10.2305\/IUCN.CH.2017.PARKS-23-2JRA.en","article-title":"Patterns of forest loss in one of Africa\u2019s last remaining wilderness areas: Niassa National Reserve (northern Mozambique)","volume":"23","author":"Allan","year":"2017","journal-title":"Parks"},{"key":"ref_39","unstructured":"MITADER (Minist\u00e9rio da Terra, Ambiente e Desenvolvimento Rural) (2005). Estrat\u00e9gia e Plano de Ac\u00e7\u00e3o para a Conserva\u00e7\u00e3o da Diversidade Biol\u00f3gica em Mo\u00e7ambique."},{"key":"ref_40","unstructured":"Cunliffe, R., Mandondo, A., Games, I., Ngarivhume, J., and Dor\u00e9, D. (2009). Reconciling conservation goals with agriculturally based livelihoods. A Proposal for Future Development of the Niassa National Reserve and Surrounding Areas, Imperial Tobacco Project."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1071\/WF17085","article-title":"Characterisation of spatial and temporal distribution of the fire regime in Niassa National Reserve, northern Mozambique","volume":"26","author":"Ribeiro","year":"2017","journal-title":"Int. J. Wildland Fire"},{"key":"ref_42","unstructured":"SGDRN (Sociedade para a Gest\u00e3o e Desenvolvimento da Reserva do Niassa) (2007). Plano de Maneio da Reserva Nacional de Niassa 2007\u20132012, SGDRN (Sociedade para a Gest\u00e3o e Desenvolvimento da Reserva do Niassa)."},{"key":"ref_43","unstructured":"Timberlake, J. (2004). Botanical Survey of the Niassa Reserve, Mozambique. Prepared for Sociedade para a Gest\u00e3o e Desenvolvimento da Reserva do Niassa Mo\u00e7ambique, Available online: http:\/\/biodiversityfoundation.org\/documents\/BFA%20No.12_Niassa%20Botany.pdf."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1017\/S0030605314000568","article-title":"Elephant poaching in Niassa Reserve, Mozambique: Population impact revealed by combined survey trends for live elephants and carcasses","volume":"50","author":"Booth","year":"2016","journal-title":"Oryx"},{"key":"ref_45","unstructured":"Marzoli, A. (2007). Avalia\u00e7\u00e3o Integrada das Florestas em Mo\u00e7ambique (AIFM): Invent\u00e1rio Florestal Nacional, MINAG\/DNTF."},{"key":"ref_46","unstructured":"Craig, G.C. (2009). Aerial Survey of Wildlife in the Niassa Reserve and Adjacent Areas, Sociedade para a Gest\u00e3o e Desenvolvimento da Reserva do Niassa."},{"key":"ref_47","unstructured":"(2020, October 11). Available online: https:\/\/mozambique.wcs.org."},{"key":"ref_48","unstructured":"Sociedade de Gest\u00e3o da Reserva Nacional de Niassa (SGDRN) (2010). Bolentim Informativo da Reserva Nacional de Niassa-Janeiro, Lugenda."},{"key":"ref_49","unstructured":"INE (Instituto Nacional de Estatistica) (2018, November 18). Resultados Preliminares, Censo 2017 e Definitivos de 2007 e 1997, Available online: http:\/\/www.ine.gov.mz."},{"key":"ref_50","unstructured":"Sanquetta, C.R., Watzlawick, L.F., Corte, A.P.D., Fernandes, L.A., and Siqueira, J.D. (2009). Invent\u00e1rios Florestais: Planejamento e Execu\u00e7\u00e3o, UFPR\u2013Setor de Ci\u00eancias Agr\u00e1rias, Departamento de Ci\u00eancias Florestais\u2013DECIF."},{"key":"ref_51","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_52","unstructured":"FAO (2003). State of the Worlds Forest, FAO."},{"key":"ref_53","unstructured":"Falc\u00e3o, M.P., and Noa, M. (2016). Defini\u00e7\u00e3o de Florestas, Desmatamento e Degrada\u00e7\u00e3o Florestal no \u00e2mbito do REDD+, Available online: https:\/\/www.biofund.org.mz\/wp-content\/uploads\/2018\/06\/1528267239-Relatorio%20definicao%20de%20floresta%20V5_19.10.2016.pdf."},{"key":"ref_54","unstructured":"Sitoe, A., and Tcha\u00faque, F. (2007). Medi\u00e7\u00e3o da Biomassa Lenhosa Utilizando Informa\u00e7\u00e3o do Inventario Florestal, Direc\u00e7\u00e3o Nacional de Terras e Florestas, Unidade de Inventario Florestal."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S0034-4257(96)00148-4","article-title":"The use of imaging radars for ecological applications\u2014A review","volume":"59","author":"Kasischke","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_56","first-page":"881","article-title":"Biomass estimation methods for tropical forests with applications to forest inventory data","volume":"35","author":"Brown","year":"1989","journal-title":"For. Sci."},{"key":"ref_57","unstructured":"Pachauri, R.K., and Meyer, L.A. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","article-title":"Stochastic gradient boosting","volume":"38","author":"Friedman","year":"2002","journal-title":"Comput. Stat. Data Anal."},{"key":"ref_59","unstructured":"Colwell, R.N. (1983). Manual of Remote Sensing, American Society of Photogrammetry. [2nd ed.]."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"12275","DOI":"10.3390\/rs61212275","article-title":"Landsat-8 Operational Land Imager radiometric calibration and stability","volume":"6","author":"Markham","year":"2014","journal-title":"Remote Sens."},{"key":"ref_61","first-page":"3010","article-title":"Monitoring Vegetation Systems in the Great Plains with ERTS","volume":"Volume 351","author":"Freden","year":"1974","journal-title":"Proceedings of the Third Earth Resources Technology Satellite-1 Symposium, Goddard Space Flight Center"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"259","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_63","doi-asserted-by":"crossref","first-page":"640","DOI":"10.2134\/agronj1968.00021962006000060016x","article-title":"Measuring the color of growing turf with a reflectance spectrophotometer 1","volume":"60","author":"Birth","year":"1968","journal-title":"Agron. J."},{"key":"ref_64","unstructured":"Vigan\u00f3, H.A., Borges, E.F., and Franca-Rocha, W.J.S. (2011). An\u00e1lise do Desempenho dos \u00cdndices de Vegeta\u00e7\u00e3o NDVI e SAVI a Partir de Imagens Aster. Simp\u00f3sio Brasileiro de Sensoriamento Remoto, Anais."},{"key":"ref_65","unstructured":"JAXA (2018, April 13). The 2nd ALOS Research Announcement: Calibration and Validation, Utilization Research, and Scientific Research; Earth Observation Research Center, Japan Aerospace Exploration Agency, Japan, Available online: http:\/\/www.eorc.JAXA.jp\/ALOS\/en\/ra\/ra2_guide.html."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"3915","DOI":"10.1109\/TGRS.2009.2023909","article-title":"\u201cPALSAR Radiometric and Geometric Calibration","volume":"47","author":"Shimada","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_67","unstructured":"JAXA (2018, April 13). ALOS User Handbook; Earth Observation Research Center, Japan Aerospace Exploration Agency. Japan, Available online: http:\/\/www.eorc.JAXA.jp\/ALOS\/en\/doc\/handbk.html."},{"key":"ref_68","unstructured":"JAXA (2021, December 10). Press Release. Advanced Land Observing Satellite. ALOS 2, Available online: https:\/\/global.jaxa.jp\/press\/alos2\/."},{"key":"ref_69","unstructured":"Kennedy, P. (2021, December 10). A Guide to Econometrics. Available online: http:\/\/masonlec.org\/site\/rte_uploads\/files\/Econometrics%20Book%20-%20Intro,%20Ch%201%20and%202.pdf."},{"key":"ref_70","unstructured":"Zanette, V.H. (2017). Equa\u00e7\u00f5es Alom\u00e9tricas de Biomassa A\u00e9rea Mista no Paran\u00e1. [Ph.D. Thesis, Universidade Federal do Parana]."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"9952","DOI":"10.1038\/s41598-020-67024-3","article-title":"Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms","volume":"10","author":"Li","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_72","first-page":"185","article-title":"Modelagem do volume individual para diferentes idades e regimes de desbaste em planta\u00e7\u00f5es de Pinus oocarpa","volume":"4","author":"Machado","year":"2002","journal-title":"RECEN-Rev. Ci\u00eanc. Exatas Nat."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1080\/15481603.2016.1269869","article-title":"Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural network","volume":"54","author":"Pham","year":"2016","journal-title":"GISci. Remote Sens."},{"key":"ref_74","unstructured":"Ferraz, A.S., Soares, V.P., Soares, C.P., Ribeiro, C.A., and Gleriani, J.M. (2013, January 13\u201318). Uso de imagens do sat\u00e9lite IKONOS II para estimar biomassa a\u00e9rea de um fragmento de floresta estacional semidecidual. Proceedings of the Anais XVI Simp\u00f3sio Brasileiro de Sensoriamento Remoto\u2014SBSR, Foz do Igua\u00e7u, PR, Brasil."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1186\/s40663-016-0077-4","article-title":"Model-based estimation of above-ground biomass in the miombo ecoregion of Zambia","volume":"3","author":"Halperin","year":"2016","journal-title":"For. Ecosyst."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.rse.2006.03.005","article-title":"A model-based approach to estimating forest area","volume":"103","author":"McRoberts","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_77","unstructured":"Mugasha, A.G., and Chamshama, S.A.O. (2021, December 10). Tree biomass and volume estimation for Miombo woodlands at Kitulangalo, Morogoro, Tanzania, in Indicators and Tools for Restoration and Sustainable Management of Forests in East Africa, I-TOO Working. Available online: https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/20702620.2004.10431761."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"507","DOI":"10.2307\/2402412","article-title":"Changes in the biomass and productivity of woodlands in the Sengwa. Wildlife Research Area, Zimbabwe","volume":"18","author":"Guy","year":"1981","journal-title":"J. Appl. Ecol."},{"key":"ref_79","unstructured":"Desanker, P.V., Frost, P.G.H., Justice, C.O., and Scholes, R.J. (1997). The Miombo Network: Framework for a Terrestrial Transect Study of Land-Use and Land-Cover Change in the Miombo Ecosystems of Central Africa. IGBP Report 41, The International Geosphere-Biosphere Programme (IGBP)."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1016\/j.foreco.2011.04.025","article-title":"Estimating state-wide biomass carbon stocks for a REDD plan in Acre, Brazil","volume":"262","author":"Salimon","year":"2011","journal-title":"For. Ecol. Manag."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"102625","DOI":"10.1016\/j.forpol.2021.102625","article-title":"Prediction of forest parameters and carbon accounting under different fire regimes in Miombo woodlands, Niassa Special Reserve, Northern Mozambique","volume":"133","author":"Ribeiro","year":"2021","journal-title":"For. Policy Econ."}],"container-title":["Forests"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4907\/13\/2\/311\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:19:19Z","timestamp":1760134759000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4907\/13\/2\/311"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,14]]},"references-count":81,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["f13020311"],"URL":"https:\/\/doi.org\/10.3390\/f13020311","relation":{},"ISSN":["1999-4907"],"issn-type":[{"value":"1999-4907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,14]]}}}