Fraction images derived from SPOT-4 VEGETATION data to assess land-cover change over the State of Mato Grosso, Brazil

被引:19
作者
Carreiras, JMB [1 ]
Shimabukuro, YE
Pereira, JMC
机构
[1] Inst Super Agron, Dept Engn Florestal, P-1349017 Lisbon, Portugal
[2] Inst Nacl Pesquisas Espaciais, Div Sensoriamento Remoto, BR-12227010 Sao Jose Dos Campos, SP, Brazil
[3] Inst Invest Cient Trop, Ctr Cartog, P-1300142 Lisbon, Portugal
关键词
D O I
10.1080/0143116021000016743
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
[No abstract available]
引用
收藏
页码:4979 / 4983
页数:5
相关论文
共 4 条
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REMOTE SENSING OF ENVIRONMENT, 1995, 52 (02) :137-154
[3]   Fraction images derived from NOAA AVHRR data for global studies [J].
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INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (17) :3191-3194
[4]   THE LEAST-SQUARES MIXING MODELS TO GENERATE FRACTION IMAGES DERIVED FROM REMOTE-SENSING MULTISPECTRAL DATA [J].
SHIMABUKURO, YE ;
SMITH, JA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1991, 29 (01) :16-20