{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T12:05:21Z","timestamp":1781006721798,"version":"3.54.1"},"reference-count":38,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,2,5]],"date-time":"2016-02-05T00:00:00Z","timestamp":1454630400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China-Africa Joint Research Centre Project of the Chinese Academy of Sciences, \u201cIntegration and Demonstration of Desertification Prevention and Control Technologies in a Typical Area of East Africa\u201d","award":["2010DFB34020"],"award-info":[{"award-number":["2010DFB34020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Knowledge of current vegetation dynamics and an ability to make accurate predictions of ecological changes are essential for minimizing food scarcity in developing countries. Vegetation trends are also closely related to sustainability issues, such as management of conservation areas and wildlife habitats. In this study, AVHRR and MODIS NDVI datasets have been used to assess the spatial temporal dynamics of vegetation greenness in Rwanda under the contrasting trends of precipitation, for the period starting from 1990 to 2014, and for the first growing season (season A). Based on regression analysis and the Hurst exponent index methods, we have investigated the spatial temporal characteristics and the interrelationships between vegetation greenness and precipitation in light of NDVI and gridded meteorological datasets. The findings revealed that the vegetation cover was characterized by an increasing trend of a maximum annual change rate of 0.043. The results also suggest that 81.3% of the country\u2019s vegetation has improved throughout the study period, while 14.1% of the country\u2019s vegetation degraded, from slight (7.5%) to substantial (6.6%) deterioration. Most pixels with severe degradation were found in Kigali city and the Eastern Province. The analysis of changes per vegetation type highlighted that five types of vegetation are seriously endangered: The \u201cmosaic grassland\/forest or shrubland\u201d was severely degraded, followed by \u201csparse vegetation,\u201d \u201cgrassland or woody vegetation regularly flooded on water logged soil,\u201d \u201cartificial surfaces\u201d and \u201cbroadleaved forest regularly flooded.\u201d The Hurst exponent results indicated that the vegetation trend was consistent, with a sustainable area percentage of 40.16%, unsustainable area of 1.67% and an unpredictable area of 58.17%. This study will provide government and local authorities with valuable information for improving efficiency in the recently targeted countrywide efforts of environmental protection and regeneration.<\/jats:p>","DOI":"10.3390\/rs8020129","type":"journal-article","created":{"date-parts":[[2016,2,5]],"date-time":"2016-02-05T10:06:16Z","timestamp":1454666776000},"page":"129","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":72,"title":["Understanding the Spatial Temporal Vegetation Dynamics in Rwanda"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6997-2818","authenticated-orcid":false,"given":"Felix","family":"Ndayisaba","sequence":"first","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"University of Lay Adventists of Kigali (UNILAK), P.O 6392 Kigali, Rwanda"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0036-8879","authenticated-orcid":false,"given":"Hao","family":"Guo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anming","family":"Bao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Guo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fidele","family":"Karamage","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"University of Lay Adventists of Kigali (UNILAK), P.O 6392 Kigali, Rwanda"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alphonse","family":"Kayiranga","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"University of Lay Adventists of Kigali (UNILAK), P.O 6392 Kigali, Rwanda"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.4236\/ijg.2011.21004","article-title":"Rainfall variability and its impact on Normalized Difference Vegetation Index in arid and semi-arid lands of Kenya","volume":"2","author":"Shisanya","year":"2011","journal-title":"Int. J. Geosci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1093\/jpe\/rtm005","article-title":"Remote sensing imagery in vegetation mapping: A review","volume":"1","author":"Xie","year":"2008","journal-title":"J. Plant Ecol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1175\/WCAS-D-11-00059.1","article-title":"Applicability of the Normalized Difference Vegetation Index (NDVI) in index-based crop insurance design","volume":"4","author":"Turvey","year":"2012","journal-title":"Weather Clim. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0167-5877(05)80004-2","article-title":"Interpreting vegetation indexes","volume":"11","author":"Jackson","year":"1991","journal-title":"Prev. Vet. Med."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1214\/13-AOAS686","article-title":"Applying multiple testing procedures to detect change in East African vegetation","volume":"8","author":"Clements","year":"2014","journal-title":"Ann. Appl. Stat."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.jaridenv.2011.11.016","article-title":"Characterising and quantifying vegetative drought in East Africa using fuzzy modelling and NDVI data","volume":"78","author":"Rulinda","year":"2012","journal-title":"J. Arid Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1973","DOI":"10.3390\/rs6031973","article-title":"Validating and linking the GIMMS Leaf Area Index (LAI3g) with environmental controls in tropical Africa","volume":"6","author":"Pfeifer","year":"2014","journal-title":"Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1080\/01431169308954042","article-title":"On the relation between rainfall and the Normalized Difference Vegetation Index for diverse vegetation types in East-Africa","volume":"14","author":"Davenport","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","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_10","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.proenv.2011.02.007","article-title":"The chlorophyll variability in meteosat derived NDVI in a context of drought monitoring","volume":"3","author":"Rulinda","year":"2011","journal-title":"Procedia Environ. Sci."},{"key":"ref_11","first-page":"72","article-title":"Spatio-temporal variations of rainfall erosivity in Rwanda","volume":"6","author":"Muhire","year":"2015","journal-title":"J. Soil Sci. Environ. Manag."},{"key":"ref_12","unstructured":"Mukashema, A. (2007). Mapping and Modelling Landscape-Based Soil Fertility Change in Relation to Human Induction. Case Study: Gishwati Watershed of the Rwandan Highlands. [Master\u2019s Thesis, Faculty of Geo-Information Science and Earth Observation]."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5471","DOI":"10.3390\/rs70505471","article-title":"Land degradation assessment using residual trend analysis of GIMMS NDVI3g, soil moisture and rainfall in Sub-Saharan West Africa from 1982 to 2012","volume":"7","author":"Ibrahim","year":"2015","journal-title":"Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.gloenvcha.2006.02.002","article-title":"NDVI-based increase in growth of temperate grasslands and its responses to climate changes in China","volume":"16","author":"Piao","year":"2006","journal-title":"Glob. Environ. Chang."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"4485","DOI":"10.1080\/01431160500168686","article-title":"An extended avhrr 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data","volume":"26","author":"Tucker","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1080\/2150704X.2014.1002944","article-title":"Increased grass NDVI under contrasting trends of precipitation change over north China during 1982\u20132011","volume":"6","author":"Yuan","year":"2015","journal-title":"Remote Sens. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2345","DOI":"10.1080\/01431160210154812","article-title":"Temporal responses of NDVI to precipitation and temperature in the central great plains, USA","volume":"24","author":"Wang","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Peng, S.S., Chen, A.P., Xu, L., Cao, C.X., Fang, J.Y., Myneni, R.B., Pinzon, J.E., Tucker, C.J., and Piao, S.L. (2011). Recent change of vegetation growth trend in China. Environ. Res. Lett., 6.","DOI":"10.1088\/1748-9326\/6\/4\/044027"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.3390\/rs6032024","article-title":"Comparison of eight techniques for reconstructing multi-satellite sensor time-series NDVI data sets in the Heihe river basin, China","volume":"6","author":"Geng","year":"2014","journal-title":"Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1007\/s12665-011-0919-x","article-title":"Assessing vegetation dynamics in the three-north shelter forest region of China using AVHRR NDVI data","volume":"64","author":"Duan","year":"2011","journal-title":"Environ. Earth Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1061\/TACEAT.0006518","article-title":"Long-term storage capacity of reservoirs","volume":"116","author":"Hurst","year":"1951","journal-title":"Trans. Am. Soc. Civ. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ecolind.2011.08.011","article-title":"Trend analysis of vegetation dynamics in Qinghai\u2013Tibet plateau using hurst exponent","volume":"14","author":"Peng","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ecolind.2014.07.031","article-title":"Spatio-temporal analysis of vegetation variation in the Yellow river basin","volume":"51","author":"Jiang","year":"2015","journal-title":"Ecol. Indic."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.ecolind.2015.05.036","article-title":"Vegetation dynamics and responses to recent climate change in Xinjiang using Leaf Area Index as an indicator","volume":"58","author":"Jiapaer","year":"2015","journal-title":"Ecol. Indic."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3718","DOI":"10.1175\/2010JCLI2883.1","article-title":"Projected changes in mean and extreme precipitation in Africa under global warming. Part II: East Africa","volume":"24","author":"Shongwe","year":"2011","journal-title":"J. Clim."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1080\/01431168508948281","article-title":"Analysis of the phenology of global vegetation using meteorological satellite data","volume":"6","author":"Justice","year":"1985","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/BF00138369","article-title":"A comparison of the vegetation response to rainfall in the Sahel and East-Africa, using Normalized Difference Vegetation Index from NOAA AVHRR","volume":"17","author":"Nicholson","year":"1990","journal-title":"Clim. Chang."},{"key":"ref_28","unstructured":"Rwaka, M. (2014). An Attempt to Investigate the Impact of 1994 Tutsi Genocide in Rwanda on Landscape Using Remote Sensing and GIS Analysis, Lund University Libraries. Student thesis series INES."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.agrformet.2004.12.006","article-title":"Early maize yield forecasting in the four agro-ecological regions of Swaziland using NDVI data derived from NOAA\u2019s-AVHRR","volume":"129","author":"Mkhabela","year":"2005","journal-title":"Agr. For. Meteorol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"La, H.P., Patrick, T.R., Park, B.W., and Eo, Y.D. (2013). Analysis of the relationship between MODIS NDVI, Lai and rainfall in the forest region of Rwanda. Int. J. Digit. Content Technol. Appl., 7.","DOI":"10.4156\/jdcta.vol7.issue8.63"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"24","DOI":"10.2747\/1548-1603.43.1.24","article-title":"Trend analysis of time-series phenology of North America derived from satellite data","volume":"43","author":"Reed","year":"2006","journal-title":"GIScience Remote Sens."},{"key":"ref_32","first-page":"S3","article-title":"Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series","volume":"12","author":"Jacquin","year":"2010","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1038\/nature01359","article-title":"Effects of household dynamics on resource consumption and biodiversity","volume":"421","author":"Liu","year":"2003","journal-title":"Nature"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"952","DOI":"10.3390\/rs1040952","article-title":"Analysis of land use\/cover changes and animal population dynamics in a wildlife sanctuary in East Africa","volume":"1","author":"Murayama","year":"2009","journal-title":"Remote Sens."},{"key":"ref_35","first-page":"60","article-title":"Integrated flood and drought management for sustainable development in the Kagera river basin","volume":"4","author":"Munyaneza","year":"2011","journal-title":"Nile Water Sci. Eng. J."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Blackwell, J.M., Goodwillie, R.N., and Webb, R. (1991). Environment and Development in Africa. Selected Case Studies, Economic Development Institute, World Bank.","DOI":"10.1596\/0-8213-1608-7"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1175\/1520-0450(1997)036<0958:ACOTND>2.0.CO;2","article-title":"A comparison of the Normalized Difference Vegetation Index and Rainfall for the Amazon and Northeastern Brazil","volume":"36","author":"Santos","year":"1997","journal-title":"J. Appl. Meteorol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/S0140-1963(03)00121-6","article-title":"Discrimination between climate and human-induced dryland degradation","volume":"57","author":"Evans","year":"2004","journal-title":"J. Arid Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/129\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:18:52Z","timestamp":1760210332000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/129"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,5]]},"references-count":38,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2016,2]]}},"alternative-id":["rs8020129"],"URL":"https:\/\/doi.org\/10.3390\/rs8020129","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,5]]}}}