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1
Analysis of Spatial and Temporal Variability of Global Wetlands during the Last 20 Years Using GlobeLand30 Data
Analysis of Spatial and Temporal Variability of Global Wetlands during the Last 20 Years Using GlobeLand30 Data
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Analysis of Spatial and Temporal Variability of Global Wetlands during the Last 20 Years Using GlobeLand30 Data

Li, Mengjuan ; Ti, Peng ; Zhu, Xiuli ; Xiong, Tao ; Mei, Yuting ; Li, Zhilin

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5553 [Periódico revisado por pares]

Basel: MDPI AG

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2
Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review
Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review
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Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review

Sahbeni, Ghada ; Ngabire, Maurice ; Musyimi, Peter K. ; Székely, Balázs

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (10), p.2540 [Periódico revisado por pares]

Basel: MDPI AG

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3
Estimating Carbon, Nitrogen, and Phosphorus Contents of West–East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data
Estimating Carbon, Nitrogen, and Phosphorus Contents of West–East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data
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Estimating Carbon, Nitrogen, and Phosphorus Contents of West–East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data

Pang, Haiyang ; Zhang, Aiwu ; Yin, Shengnan ; Zhang, Jiaxin ; Dong, Gang ; He, Nianpeng ; Qin, Wenxuan ; Wei, Dandan

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (2), p.242 [Periódico revisado por pares]

Basel: MDPI AG

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4
Estimation of Salinity Content in Different Saline-Alkali Zones Based on Machine Learning Model Using FOD Pretreatment Method
Estimation of Salinity Content in Different Saline-Alkali Zones Based on Machine Learning Model Using FOD Pretreatment Method
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Estimation of Salinity Content in Different Saline-Alkali Zones Based on Machine Learning Model Using FOD Pretreatment Method

Fu, Chengbiao ; Tian, Anhong ; Zhu, Daming ; Zhao, Junsan ; Xiong, Heigang

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5140 [Periódico revisado por pares]

Basel: MDPI AG

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5
Genetic Algorithm Captured the Informative Bands for Partial Least Squares Regression Better on Retrieving Leaf Nitrogen from Hyperspectral Reflectance
Genetic Algorithm Captured the Informative Bands for Partial Least Squares Regression Better on Retrieving Leaf Nitrogen from Hyperspectral Reflectance
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Genetic Algorithm Captured the Informative Bands for Partial Least Squares Regression Better on Retrieving Leaf Nitrogen from Hyperspectral Reflectance

Jin, Jia ; Wu, Mengjuan ; Song, Guangman ; Wang, Quan

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (20), p.5204 [Periódico revisado por pares]

Basel: MDPI AG

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6
Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops
Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops
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Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops

Yin, Caixia ; Lv, Xin ; Zhang, Lifu ; Ma, Lulu ; Wang, Huihan ; Zhang, Linshan ; Zhang, Ze

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (11), p.2576 [Periódico revisado por pares]

Basel: MDPI AG

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7
Land Surface Parameterization at Exposed Playa and Desert Region to Support Dust Emissions Estimates in Southern California, United States
Land Surface Parameterization at Exposed Playa and Desert Region to Support Dust Emissions Estimates in Southern California, United States
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Land Surface Parameterization at Exposed Playa and Desert Region to Support Dust Emissions Estimates in Southern California, United States

Cheng, Yen-Ben ; Dickey, Hank ; Yimam, Yohannes T. ; Schmid, Brian ; Paxton, Bronwyn ; Schreuder, Maarten ; Tran, Reed

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.616 [Periódico revisado por pares]

Basel: MDPI AG

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8
Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning
Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning
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Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning

Bhadra, Sourav ; Sagan, Vasit ; Maimaitijiang, Maitiniyazi ; Maimaitiyiming, Matthew ; Newcomb, Maria ; Shakoor, Nadia ; Mockler, Todd C.

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (13), p.2082 [Periódico revisado por pares]

Basel: MDPI AG

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9
Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method
Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method
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Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method

Meng, Xiangtian ; Bao, Yilin ; Ye, Qiang ; Liu, Huanjun ; Zhang, Xinle ; Tang, Haitao ; Zhang, Xiaohan

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2273 [Periódico revisado por pares]

Basel: MDPI AG

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