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Refinado por: Base de dados/Biblioteca: Materials Research Database remover
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1
Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation
Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation
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Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation

Sekertekin, Aliihsan ; Bonafoni, Stefania

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.294 [Periódico revisado por pares]

Basel: MDPI AG

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2
A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives
A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives
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A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives

Cao, Biao ; Liu, Qinhuo ; Du, Yongming ; Roujean, Jean-Louis ; Gastellu-Etchegorry, Jean-Philippe ; Trigo, Isabel F. ; Zhan, Wenfeng ; Yu, Yunyue ; Cheng, Jie ; Jacob, Frédéric ; Lagouarde, Jean-Pierre ; Bian, Zunjian ; Li, Hua ; Hu, Tian ; Xiao, Qing

Remote sensing of environment, 2019-10, Vol.232, p.111304, Article 111304 [Periódico revisado por pares]

New York: Elsevier Inc

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3
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales
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Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales

Anderson, Martha C. ; Yang, Yang ; Xue, Jie ; Knipper, Kyle R. ; Yang, Yun ; Gao, Feng ; Hain, Chris R. ; Kustas, William P. ; Cawse-Nicholson, Kerry ; Hulley, Glynn ; Fisher, Joshua B. ; Alfieri, Joseph G. ; Meyers, Tilden P. ; Prueger, John ; Baldocchi, Dennis D. ; Rey-Sanchez, Camilo

Remote sensing of environment, 2021-01, Vol.252, p.112189, Article 112189 [Periódico revisado por pares]

New York: Elsevier Inc

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4
Deep learning in environmental remote sensing: Achievements and challenges
Deep learning in environmental remote sensing: Achievements and challenges
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Deep learning in environmental remote sensing: Achievements and challenges

Yuan, Qiangqiang ; Shen, Huanfeng ; Li, Tongwen ; Li, Zhiwei ; Li, Shuwen ; Jiang, Yun ; Xu, Hongzhang ; Tan, Weiwei ; Yang, Qianqian ; Wang, Jiwen ; Gao, Jianhao ; Zhang, Liangpei

Remote sensing of environment, 2020-05, Vol.241, p.111716, Article 111716 [Periódico revisado por pares]

New York: Elsevier Inc

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5
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model
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Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model

Firozjaei, Mohammad Karimi ; Weng, Qihao ; Zhao, Chunhong ; Kiavarz, Majid ; Lu, Linlin ; Alavipanah, Seyed Kazem

Remote sensing of environment, 2020-06, Vol.242, p.111751, Article 111751 [Periódico revisado por pares]

New York: Elsevier Inc

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6
A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning
A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning
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A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning

Wang, Han ; Mao, Kebiao ; Yuan, Zijin ; Shi, Jiancheng ; Cao, Mengmeng ; Qin, Zhihao ; Duan, Sibo ; Tang, Bohui

Remote sensing of environment, 2021-11, Vol.265, p.112665, Article 112665 [Periódico revisado por pares]

New York: Elsevier Inc

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7
A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data
A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data
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A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data

Du, Chen ; Ren, Huazhong ; Qin, Qiming ; Meng, Jinjie ; Zhao, Shaohua

Remote sensing (Basel, Switzerland), 2015-01, Vol.7 (1), p.647-665 [Periódico revisado por pares]

Basel: MDPI AG

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8
Determination of global land surface temperature using data from only five selected thermal infrared channels: Method extension and accuracy assessment
Determination of global land surface temperature using data from only five selected thermal infrared channels: Method extension and accuracy assessment
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Determination of global land surface temperature using data from only five selected thermal infrared channels: Method extension and accuracy assessment

Zheng, Xiaopo ; Li, Zhao-Liang ; Wang, Tianxing ; Huang, Huabing ; Nerry, Françoise

Remote sensing of environment, 2022-01, Vol.268, p.112774, Article 112774 [Periódico revisado por pares]

New York: Elsevier Inc

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9
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
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Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China

Zhang, Meng ; Lin, Hui ; Wang, Guangxing ; Sun, Hua ; Fu, Jing

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1840 [Periódico revisado por pares]

Basel: MDPI AG

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10
A new nonlinear method for downscaling land surface temperature by integrating guided and Gaussian filtering
A new nonlinear method for downscaling land surface temperature by integrating guided and Gaussian filtering
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A new nonlinear method for downscaling land surface temperature by integrating guided and Gaussian filtering

Guo, Fengxiang ; Hu, Die ; Schlink, Uwe

Remote sensing of environment, 2022-03, Vol.271, p.112915, Article 112915 [Periódico revisado por pares]

New York: Elsevier Inc

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