Combining Sentinel-2 data with an optical-trapezoid approach to infer within-field soil moisture variability and monitor agricultural production stages-Reference-Cited by-同舟云学术

Combining Sentinel-2 data with an optical-trapezoid approach to infer within-field soil moisture variability and monitor agricultural production stages

Published:2022-12 Issue: Volume:274 Page:107942
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Ma Chunfeng,Johansen Kasper,McCabe Matthew F.

Funder

National Natural Science Foundation of China

King Abdullah University of Science and Technology

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference84 articles.

1. Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach;Ambrosone;Int. J. Appl. Earth Obs. Geoinf.,2020

2. CubeSats enable high spatiotemporal retrievals of crop-water use for precision agriculture;Aragon;Remote Sens.,2018

3. Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations;Babaeian;Remote Sens. Environ.,2018

4. A new optical remote sensing technique for high-resolution mapping of soil moisture;Babaeian;Front. Big Data,2019

5. Toward global soil moisture monitoring with sentinel-1: harnessing assets and overcoming obstacles;Bauer-Marschallinger;IEEE Trans. Geosci. Remote Sens.,2018

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case;Remote Sensing;2024-09-11

2. Study on Soil Moisture Status of Soybean and Corn across the Whole Growth Period Based on UAV Multimodal Remote Sensing;Remote Sensing;2024-08-27

3. Ensembles of multiple models for soil moisture retrieval from remote sensing data over agricultural areas: A deep learning-based framework;Remote Sensing Applications: Society and Environment;2024-08

4. Spatio-temporal monitoring of plant water status using optical remote sensing data and in situ measurements;Advances in Space Research;2024-07

5. Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data;Agricultural Water Management;2024-06