An assessment of several linear change detection techniques for mapping forest mortality using multitemporal landsat TM data-Reference-Cited by-同舟云学术

An assessment of several linear change detection techniques for mapping forest mortality using multitemporal landsat TM data

Published:1996-04 Issue:1 Volume:56 Page:66-77
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Collins John B.,Woodcock Curtis E.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference27 articles.

1. Monitoring land-cover change by principal component analysis of multitemporal Landsat data;Byrne;Remove Sens. Environ.,1980

2. An improved dark object subtraction technique for atmospheric scattering correction of multi-spectral data;Chavez;Remote Sens. Environ.,1988

3. Extracting spectral contrast in Landsat Thematic Mapper data using selective principal component analysis;Chavez;Photogramm. Eng. Remote Sens.,1989

4. Automatic detection of vegetation changes in the Southwestern United States using remotely sensed images;Chavez;Photogramm. Eng. Remote Sens.,1994

5. Change detection using the Gramm-Schmidt transformation applied to mapping forest mortality;Collins;Remote Sens. Environ.,1994

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