Remote Sensing Applications
William Tse Horng Liu
Brazil’s most comprehensive book on remote sensing has just won a new edition, revised and expanded: Remote Sensing Applications, by William Tse Horng Liu.
Released exclusively in digital format, it can be purchased in full version or in individual chapters.
There are 16 chapters – about 900 pages – filled with images, graphics and comparative tables, in which the author outlines the applications of remote sensing.
It begins with the conceptual foundations, the types of satellite and the characteristics of the soil and vegetation spectra that make up the images.
The new edition also features a chapter dedicated to the Universal Model of Agricultural Crop Prediction, an internationally unprecedented model that can be applied to any vegetation types in any area, provided they are at the level of one pixel of the satellites’ spatial resolution.
The fundamentals and algorithms are presented in detail.
- Original title
- Aplicações de sensoriamento remoto
- Year of publication
About the authors
William Tse Horng Liu
William Tse Horng Liu was born in Tungshiao, Taiwan, on August 20, 1942, was awarded several times as a standard student and young standard during the period in which he attended elementary school and high school. In 1956 he was awarded in the Academic Excellence category with A grade in all subjects, a fact unheard of in the history of the First Taichung State College, where he studied. After completing his bachelor’s degree in Soil Science at National Chung Hsing University in Taiwan, he went to the United States to pursue his postgraduate studies, earning his master’s degree from the University of New Hampshire in Durham in 1970 and his PhD from the University of Cornell, Ithaca, New York in 1974.
1. Theoretical Background
2. Satellite System
3. Soil Spectral Characteristics
4. Spectral Vegetation Characteristics
5. Applications in Geology
6. Water Resources
7. Vegetation Indices
8. Energy Balance of the Earth’s Surface
9. Drought Monitoring
10. Uses of Urban Soil
11. Forest Fire Monitoring
12. Prediction of Agricultural Crop
13. Satellite Data Processing
14. Digital Image Classification
15. Geographic Information System
16. Universal Model of Agricultural Crop Prediction