Retrieval of Heavy Metal Content in Soil Using GF-5 Satellite Images Based on GA-XGBoost Model

Han Bai; Yun Yang; Qinfang Cui; Peng Jia; Lixia Wang

doi:10.3788/LOP202259.1230001

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 12 >Page 1230001 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 12, 1230001 (2022)

Retrieval of Heavy Metal Content in Soil Using GF-5 Satellite Images Based on GA-XGBoost Model

Han Bai¹, Yun Yang^1、2、*, Qinfang Cui³, Peng Jia⁴, and Lixia Wang¹

Author Affiliations

¹College of Geology Engineering and Surveying, Chang’an University, Xi’an 710054, Shaanxi , China

²Key laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi’an 710016, Shaanx , China

³Technologies Co., Ltd., Xi’an 710001, Shaanxi , China

⁴Changqing Engineering Design Co., Ltd., Xi’an 710018, Shaanxi , China

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DOI: 10.3788/LOP202259.1230001 Cite this Article Set citation alerts

Han Bai, Yun Yang, Qinfang Cui, Peng Jia, Lixia Wang. Retrieval of Heavy Metal Content in Soil Using GF-5 Satellite Images Based on GA-XGBoost Model[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1230001 Copy Citation Text

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