Future approaches to facilitate large-scale adoption of thermal based images as key input in the production of dynamic irrigation management zones-Reference-Cited by-同舟云学术

Future approaches to facilitate large-scale adoption of thermal based images as key input in the production of dynamic irrigation management zones

Published:2017 Issue:2 Volume:8 Page:546-550
ISSN:2040-4700
Container-title:Advances in Animal Biosciences
language:en
Short-container-title:Advances in Animal Biosciences

Author:

Cohen Y.,Agam N.,Klapp I.,Karnieli A.,Beeri O.,Alchanatis V.,Sochen N.

Publisher

Elsevier BV

Reference21 articles.

1. Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images

2. A Data Mining Approach for Sharpening Thermal Satellite Imagery over Land

3. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space

4. Rosenberg O , Alchanatis V , Cohen Y , Saranga Y and Bosak A 2014. Are thermal images adequate for irrigation Management?, 12th International Conference on Precision Agriculture, Sacramento, California, USA.

5. Design of an image restoration algorithm for the TOMBO imaging system

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2. Field Scale Assessment of the TsHARP Technique for Thermal Sharpening of MODIS Satellite Images Using VENµS and Sentinel-2-Derived NDVI;Remote Sensing;2021-03-18

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4. Monitoring;Agricultural Internet of Things and Decision Support for Precision Smart Farming;2020

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