Integrating hydrologic modeling and satellite remote sensing to assess the performance of sprinkler irrigation-Reference-Cited by-同舟云学术

Integrating hydrologic modeling and satellite remote sensing to assess the performance of sprinkler irrigation

Published:2024-05-03 Issue:3 Volume:27 Page:934-952
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Zheng Chaolei¹^ORCID,Jia Li¹²^ORCID,Menenti Massimo¹³^ORCID,Hu Guangcheng¹^ORCID,Lu Jing¹^ORCID,Chen Qiting¹,Jiang Min¹^ORCID,Mancini Marco⁴,Corbari Chiara⁴^ORCID

Affiliation:

1. Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. International Research Center of Big Data for Sustainable Development Goals, Beijing, China

3. Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, Delft, Netherlands

4. Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy

Funder

the National Natural Science Foundation of China

Open Research Program of the International Research Center of Big Data for Sustainable Development Goals

SA-NSRCC Dragon 5 Program

MOST High Level Foreign Expert program

the Chinese Academy of Sciences President’s International Fellowship Initiative

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2344615

Reference82 articles.

1. Monitoring of Irrigation Schemes by Remote Sensing: Phenology versus Retrieval of Biophysical Variables

2. Dry matter and qualitative characteristics of alfalfa as affected by harvest times and soil water content

3. Deficit irrigation as a sustainable option for improving water productivity in Sub-Saharan Africa: the case of Ethiopia. A critical review

4. Collection and evaluation of relevant information on crop interception for the revision of the Guidance Document on Persistence in Soil

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