Accounting for soil porosity improves a thermal inertia model for estimating surface soil water content-Reference-Cited by-同舟云学术

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Accounting for soil porosity improves a thermal inertia model for estimating surface soil water content

Published:2018-06 Issue: Volume:212 Page:79-89
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Lu Yili^ORCID,Horton Robert,Zhang Xiao,Ren Tusheng^ORCID

Funder

United States Department of Agriculture, Agricultural Research Service

National Natural Science Foundation of China

National Key Technology Research and Development Program of China

China Postdoctoral Science Foundation

U.S. Army Research Office

US National Science Foundation

USDA–NIFA Multi-State

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference65 articles.

1. Soil moisture prediction of bare soil profiles using diffuse spectral reflectance information and vadose zone flow modeling;Babaeian;Remote Sens. Environ.,2016

2. Measurement of thermal properties and water content of unsaturated sandy soil using dual-probe heat-pulse probes;Bristow;Agric. For. Meteorol.,1998

3. Soil moisture retrieval from MODIS data in Northern China Plain using thermal inertia model;Cai;Int. J. Remote Sens.,2007

4. Soil Physics with BASIC: Transport Models for Soil–Plant Systems;Campbell,1985

5. An overview of the "triangle method" for estimating surface evapotranspiration and soil moisture from satellite imagery;Carlson;Sensors,2007

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1. Surface soil moisture retrieval based on transfer learning using SAR data on a local scale;International Journal of Remote Sensing;2024-03-21

2. A thermal infrared remote sensing approach for estimating soil porosity;Remote Sensing Letters;2024-03-18

3. Miscellaneous methods for determination of unfrozen water content in frozen soils;Journal of Hydrology;2024-03

4. Assessing soil moisture levels using visible UAV imagery and machine learning models;Remote Sensing Applications: Society and Environment;2023-11

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