[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[[["\u003cp\u003eThese datasets provide gap-filled Tasseled Cap Brightness (TCB) and Wetness (TCW) derived from MODIS BRDF-corrected imagery.\u003c/p\u003e\n"],["\u003cp\u003eThe tasseled-cap transformations are based on the equations defined in Lobser and Cohen (2007).\u003c/p\u003e\n"],["\u003cp\u003eGap-filling ensures data continuity by eliminating missing values caused by cloud cover, cloud shadows, and other factors using the method outlined in Weiss et al.(2014).\u003c/p\u003e\n"],["\u003cp\u003eBoth datasets are produced by the Malaria Atlas Project and are available at a 5km spatial resolution and monthly temporal resolution.\u003c/p\u003e\n"]]],["Tasseled Cap Brightness (TCB) and Wetness (TCW) datasets were generated using tasseled-cap equations from Lobser and Cohen (2007) on MODIS BRDF-corrected imagery (MCD43B4). The datasets, from the Malaria Atlas Project, were then gap-filled using methods described in Weiss et al. (2014). The process aims to correct missing data on the monthly data from the 5km imagery.\n"],null,[]]
