Hyperspectral Remote Sensing of Agriculture and Vegetation

Format:

Book

Author/Creator:

Pascucci, Simone, Editor.

Contributor:

Pignatti, Stefano, Editor.

Casa, R. (Raffaele), Editor.

Darvishzadeh, Roshanak, Editor.

Huang, Wenjiang, Editor.

Pascucci, Simone

Pignatti, Stefano

Casa, Raffaele

Darvishzadeh, Roshanak

Huang, Wenjiang

Language:

English

Physical Description:

1 online resource (266 p.)

Place of Publication:

Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021

Language Note:

English

Summary:

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.