Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring

被引:10
|
作者
Tatem, Andrew J.
Nayar, Anjali
Hay, Simon I.
机构
[1] Univ Oxford, Dept Zool, TALA Res Grp, Oxford OX1 3PS, England
[2] Univ Oxford, Ctr Environm, Environm Change Inst, Oxford OX1 3QY, England
[3] Ctr Geog Med, Malaria Publ Hlth & Epidemiol Grp, Nairobi 00100, Kenya
基金
英国惠康基金;
关键词
D O I
10.1080/01431160600589195
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This study examines the utility of NASA's circa 1990 and circa 2000 global orthorectified Landsat dataset for land cover and land use change mapping and monitoring across Africa. This is achieved by comparing the temporal and spatial variation of NDVI, measured independently by the NOAA-AVHRR at the time of Landsat scene acquisition, against the seasonal mean for each Landsat scene extent. Decadal sequences of drift-corrected NOAA-AVHRR imagery were used to calculate NDVI means and standard deviations for the periods covered by the scenes composing the c. 1990 and c. 2000 Landsat datasets. The specific NOAA-AVHRR NDVI values at the acquisition date of each individual Landsat scene were also calculated and the differences, both from the mean and scaled by standard deviation, were mapped for the Landsat scene footprints in the c. 1990 and c. 2000 datasets. The resulting maps show the temporal position of each Landsat scene within the seasonal NDVI cycle, and provide a valuable guide to assist in quantifying uncertainty and interpreting land cover and land use changes inferred from these Landsat data.
引用
收藏
页码:3073 / 3078
页数:6
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