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Innovations","award":["2572021BA08"],"award-info":[{"award-number":["2572021BA08"]}]},{"name":"National Undergraduate Training Programs for Innovations","award":["2572019CP12"],"award-info":[{"award-number":["2572019CP12"]}]},{"name":"National Undergraduate Training Programs for Innovations","award":["2019M661239"],"award-info":[{"award-number":["2019M661239"]}]},{"name":"National Undergraduate Training Programs for Innovations","award":["202110225089"],"award-info":[{"award-number":["202110225089"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Soil moisture is one of the most important components of all the soil properties affecting the global hydrologic cycle. Optical remote sensing technology is one of the main parts of soil moisture estimation. In this study, we promote a soil moisture-estimating method with applications regarding various soil organic matters. The results indicate that the soil organic matter had a significant spectral feature at wavelengths larger than 900 nm. The existence of soil organic matter would lead to darker soil, and this feature was similar to the soil moisture. Meanwhile, the effect of the soil organic matter on its reflectance overlaps with the effect of soil moisture on its reflected spectrum. This can lead to the underestimation of the soil moisture content, with an MRE of 21.87%. To reduce this effect, the absorption of the soil organic matter was considered based on the Lambert\u2013Beer law. Then, we established an SMCg-estimating model based on the radiative transform theory while considering the effect of the soil organic matter. The results showed that the effect of the soil organic matter can be effectively reduced and the accuracy of the soil moisture estimation was increased, while MRE decreased from 21.87% to 6.53%.<\/jats:p>","DOI":"10.3390\/rs14102411","type":"journal-article","created":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T03:20:43Z","timestamp":1652844043000},"page":"2411","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["A Method of Soil Moisture Content Estimation at Various Soil Organic Matter Conditions Based on Soil Reflectance"],"prefix":"10.3390","volume":"14","author":[{"given":"Tianchen","family":"Li","sequence":"first","affiliation":[{"name":"School of Forestry, Northeast Forestry University, Harbin 150040, China"},{"name":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"}]},{"given":"Tianhao","family":"Mu","sequence":"additional","affiliation":[{"name":"School of Forestry, Northeast Forestry University, Harbin 150040, China"},{"name":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"}]},{"given":"Guiwei","family":"Liu","sequence":"additional","affiliation":[{"name":"China Railway Design Corporation, Tianjin 300251, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6441-6836","authenticated-orcid":false,"given":"Xiguang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Forestry, Northeast Forestry University, Harbin 150040, China"},{"name":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"}]},{"given":"Gechun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Forestry, Northeast Forestry University, Harbin 150040, China"},{"name":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"}]},{"given":"Chuqing","family":"Shang","sequence":"additional","affiliation":[{"name":"School of Forestry, Northeast Forestry University, Harbin 150040, China"},{"name":"Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1038\/ngeo2868","article-title":"The global distribution and dynamics of surface soil moisture","volume":"10","author":"McColl","year":"2017","journal-title":"Nat. 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