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Willemen, L.Jones, S.Estrada Carmona, NataliaDeClerck, Fabrice A.J.[Ecosystem service maps in agriculture]Ecosystem service maps in agriculture

This eco-type map presents land units with distinct vegetation and exposure to floods (or droughts) in three villages in the Barotseland, Zambia. The knowledge and eco-types descriptions were collected from participatory mapping and focus group discussions with 77 participants from Mapungu, Lealu...


Rio, T. delGroot, Jeroen C.J.DeClerck, Fabrice A.J.Estrada Carmona, Natalia[Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia]Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia

Fritz, SteffenSee, LindaMcCallum, IanYou, LiangzhiBun AMoltchanova EDuerauer, MAlbrecht, F.Schill CPerger CHavlík, PetrMosnier, AlineThornton, Philip K.Wood-Sichra, U.Herrero, Mario T.Becker-Reshef, InbalJustice, ChrisHansen, MatthewGong, PengAbdel Aziz, ShetaCiprián, ArsenioCumani, RenatoCecchi, G.Conchedda, G.Ferreira SGómez, A.Haffani MKayitakire, FrancoisMalanding, JMueller RNewby TNonguierma AOlusegun AOrtner SRajak RRocha JSchepaschenko DSchepaschenko MTerekhov ATiangwa, A.Vancutsem CVintrou EWenbin WVelde, M. van derDunwoody, A.Kraxner, FlorianObersteiner, Michael[Mapping global cropland and field size]Mapping global cropland and field size

Lack of accurate maps on the extent of global cropland, and particularly the spatial distribution of major crop types, hampers policy and strategic investment and could potentially impede efforts to improve food security in an environment characterized by continued market volatility and a changin...


See, LindaFritz, SteffenYou, LiangzhiRamankutty, R.Herrero, Mario T.Justice, ChrisBecker-Reshef, InbalThornton, Philip K.Erb, KarlheinzGong, PengTang, H.Velde, M. van derEricksen, Polly J.McCallum, IanKraxner, FlorianObersteiner, Michael[Improved global cropland data as an essential ingredient for food security]Improved global cropland data as an essential ingredient for food security

Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data...


Nhamo, LuxonDijk, R. vanMagidi, J.Wiberg, DavidTshikolomo, K.[Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability]Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability

This paper describes the start of a data sharing process to develop a consolidated community cropland map, which was initiated through a recent workshop on characterizing and validating global agricultural land cover. Participants from different organizations around the world were asked to contri...


See, LindaFritz, SteffenThornton, Philip K.Justice, ChrisBecker-Reshef, InbalLeo OHerrero, Mario T.You, Liangzhi[Building a consolidated community global cropland map]Building a consolidated community global cropland map

Moderate Resolution Imaging Spectro-radiometer (MODIS) time-series Normalized Differential Vegetation Index (NDVI) products are regularly used for vegetation monitoring missions and climate change analysis. However, satellite observation is affected by the atmospheric condition, cloud state and s...


Mondal, S.Jeganathan, C.Amarnath, GirirajPani, Peejush[Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring]Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring

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