This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by …
This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data were gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["These datasets provide gap-filled Tasseled Cap Brightness (TCB) and Wetness (TCW) derived from MODIS BRDF-corrected imagery."],["The tasseled-cap transformations are based on equations defined by Lobser and Cohen (2007)."],["A gap-filling approach from Weiss et al.(2014) is used to address missing data caused by cloud cover and other factors."],["The data are available at a 5km resolution and provided on a monthly basis."],["These datasets are useful for various applications such as monitoring vegetation health, land cover change, and environmental modeling, especially in malaria research by the Malaria Atlas Project."]]],[]]