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Retrieval and Mapping of Soil Texture Based on Land Surface Diurnal Temperature Range Data from MODIS

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  • De-Cai Wang
  • Gan-Lin Zhang
  • Ming-Song Zhao
  • Xian-Zhang Pan
  • Yu-Guo Zhao
  • De-Cheng Li
  • Bob Macmillan

Abstract

Numerous studies have investigated the direct retrieval of soil properties, including soil texture, using remotely sensed images. However, few have considered how soil properties influence dynamic changes in remote images or how soil processes affect the characteristics of the spectrum. This study investigated a new method for mapping regional soil texture based on the hypothesis that the rate of change of land surface temperature is related to soil texture, given the assumption of similar starting soil moisture conditions. The study area was a typical flat area in the Yangtze-Huai River Plain, East China. We used the widely available land surface temperature product of MODIS as the main data source. We analyzed the relationships between the content of different particle soil size fractions at the soil surface and land surface day temperature, night temperature and diurnal temperature range (DTR) during three selected time periods. These periods occurred after rainfalls and between the previous harvest and the subsequent autumn sowing in 2004, 2007 and 2008. Then, linear regression models were developed between the land surface DTR and sand (> 0.05 mm), clay (

Suggested Citation

  • De-Cai Wang & Gan-Lin Zhang & Ming-Song Zhao & Xian-Zhang Pan & Yu-Guo Zhao & De-Cheng Li & Bob Macmillan, 2015. "Retrieval and Mapping of Soil Texture Based on Land Surface Diurnal Temperature Range Data from MODIS," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
    • Handle: RePEc:plo:pone00:0129977
    DOI: 10.1371/journal.pone.0129977
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    Cited by:

    1. Roomesh Kumar Jena & Pravash Chandra Moharana & Subramanian Dharumarajan & Gulshan Kumar Sharma & Prasenjit Ray & Partha Deb Roy & Dibakar Ghosh & Bachaspati Das & Amnah Mohammed Alsuhaibani & Ahmed G, 2023. "Spatial Prediction of Soil Particle-Size Fractions Using Digital Soil Mapping in the North Eastern Region of India," Land, MDPI, vol. 12(7), pages 1-20, June.
    2. Pompilica Iagăru & Pompiliu Pavel & Romulus Iagăru & Anca Șipoș, 2022. "Aerial Monitorization—A Vector for Ensuring the Agroecosystems Sustainability," Sustainability, MDPI, vol. 14(10), pages 1-12, May.

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