Quantifying environmental change from high-resolution remotely sensed imagery using a composite ecosystem degradation index
- Author(s):
- Publication title:
- Remote sensing for agriculture, ecosystems, and hydrology II : 25-27 September, 2000, Barcelona, Spain
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 4171
- Pub. Year:
- 2000
- Page(from):
- 214
- Page(to):
- 222
- Pages:
- 9
- Pub. info.:
- Bellingham, Wash.: SPIE-The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819438270 [0819438278]
- Language:
- English
- Call no.:
- P63600/4171
- Type:
- Conference Proceedings
Similar Items:
SPIE - The International Society for Optical Engineering |
7
Conference Proceedings
Belt-oriented RADON transform and its application to extracting features from high-resolution remotely sensed images
SPIE-The International Society for Optical Engineering |
2
Conference Proceedings
Alternative approaches for estimating leaf area index (LAI) from remotely sensed satellite and aircraft imagery (Invited Paper)
SPIE - The International Society of Optical Engineering |
SPIE - The International Society of Optical Engineering |
3
Conference Proceedings
Multiresolution approach to wildlife habitat modeling using remotely sensed imagery
SPIE - The International Society of Optical Engineering |
9
Conference Proceedings
Sensitive wetlands delineation using multitemporal satellite imagery: a comparative study in the intermountain western U.S.
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
Society of Photo-optical Instrumentation Engineers |
5
Conference Proceedings
An effective method to detect straight lines from high spatial resolution remotely sensed imagery and its applications for runway extraction
SPIE - The International Society of Optical Engineering |
SPIE - The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
12
Conference Proceedings
Analysis of remotely sensed imagery using the level-crossing statistics texture descriptor
SPIE - The International Society of Optical Engineering |