Remote Sensing and GIS in Ecosystem Management

Remote Sensing and GIS in Ecosystem Management
Author :
Publisher :
Total Pages : 392
Release :
ISBN-10 : UOM:39015017429864
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Remote Sensing and GIS in Ecosystem Management by : V. Alaric Sample

Download or read book Remote Sensing and GIS in Ecosystem Management written by V. Alaric Sample and published by . This book was released on 1994-10 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Particularly about forests in the USA.


Remote Sensing and GIS in Ecosystem Management Related Books

Remote Sensing and GIS in Ecosystem Management
Language: en
Pages: 392
Authors: V. Alaric Sample
Categories: Computers
Type: BOOK - Published: 1994-10 - Publisher:

DOWNLOAD EBOOK

Particularly about forests in the USA.
Remote Sensing and Ecosystem Management
Language: en
Pages: 388
Authors: Jerry D. Greer
Categories:
Type: BOOK - Published: 1998-04 - Publisher: DIANE Publishing

DOWNLOAD EBOOK

Satellite Remote Sensing and the Management of Natural Resources
Language: en
Pages: 225
Authors: Nathalie Pettorelli
Categories: Nature
Type: BOOK - Published: 2019 - Publisher:

DOWNLOAD EBOOK

The ability to anticipate the impacts of global environmental changes on natural resources is fundamental to designing appropriate and optimised adaptation and
Environmental Remote Sensing and Systems Analysis
Language: en
Pages: 520
Authors: Ni-Bin Chang
Categories: Science
Type: BOOK - Published: 2012-03-23 - Publisher: CRC Press

DOWNLOAD EBOOK

Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support
Remote Sensing for Sustainable Forest Management
Language: en
Pages: 425
Authors: Steven E. Franklin
Categories: Law
Type: BOOK - Published: 2001-06-13 - Publisher: CRC Press

DOWNLOAD EBOOK

As remote sensing data and methods have become increasingly complex and varied - and increasingly reliable - so have their uses in forest management. New algori