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Refinado por: Nome da Publicação: Remote Sensing remover
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Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop–Livestock System Using Textural Information from PlanetScope Imagery
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Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop–Livestock System Using Textural Information from PlanetScope Imagery

Dos Reis, Aliny A. ; Werner, João P. S. ; Silva, Bruna C. ; Figueiredo, Gleyce K. D. A. ; Antunes, João F. G. ; Esquerdo, Júlio C. D. M. ; Coutinho, Alexandre C. ; Lamparelli, Rubens A. C. ; Rocha, Jansle V. ; Magalhães, Paulo S. G.

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2534 [Periódico revisado por pares]

Basel: MDPI AG

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Modeling the Corn Residue Coverage after Harvesting and before Sowing in Northeast China by Random Forest and Soil Texture Zoning
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Modeling the Corn Residue Coverage after Harvesting and before Sowing in Northeast China by Random Forest and Soil Texture Zoning

Dong, Yi ; Xuan, Fu ; Li, Ziqian ; Su, Wei ; Guo, Hui ; Huang, Xianda ; Li, Xuecao ; Huang, Jianxi

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.2179 [Periódico revisado por pares]

Basel: MDPI AG

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3
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images
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Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images

Guo, Yahui ; Chen, Shouzhi ; Li, Xinxi ; Cunha, Mario ; Jayavelu, Senthilnath ; Cammarano, Davide ; Fu, Yongshuo

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1337 [Periódico revisado por pares]

Basel: MDPI AG

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4
Assessing the Perspectives of Ground Penetrating Radar for Precision Farming
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Assessing the Perspectives of Ground Penetrating Radar for Precision Farming

Lombardi, Federico ; Ortuani, Bianca ; Facchi, Arianna ; Lualdi, Maurizio

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (23), p.6066 [Periódico revisado por pares]

Basel: MDPI AG

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5
Monitoring Spatiotemporal Changes of Impervious Surfaces in Beijing City Using Random Forest Algorithm and Textural Features
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Monitoring Spatiotemporal Changes of Impervious Surfaces in Beijing City Using Random Forest Algorithm and Textural Features

Dong, Xuegang ; Meng, Zhiguo ; Wang, Yongzhi ; Zhang, Yuanzhi ; Sun, Haoteng ; Wang, Qingshuai

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.153 [Periódico revisado por pares]

Basel: MDPI AG

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6
Optimal Timing Assessment for Crop Separation Using Multispectral Unmanned Aerial Vehicle (UAV) Data and Textural Features
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Optimal Timing Assessment for Crop Separation Using Multispectral Unmanned Aerial Vehicle (UAV) Data and Textural Features

Böhler, Jonas E. ; Schaepman, Michael E. ; Kneubühler, Mathias

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1780 [Periódico revisado por pares]

Basel: MDPI AG

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7
Estimation of Maize Residue Cover Using Landsat-8 OLI Image Spectral Information and Textural Features
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Estimation of Maize Residue Cover Using Landsat-8 OLI Image Spectral Information and Textural Features

Jin, Xiuliang ; Ma, Jianhang ; Wen, Zhidan ; Song, Kaishan

Remote sensing (Basel, Switzerland), 2015-11, Vol.7 (11), p.14559-14575 [Periódico revisado por pares]

Basel: MDPI AG

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8
A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat
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A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat

Li, Zongpeng ; Zhou, Xinguo ; Cheng, Qian ; Fei, Shuaipeng ; Chen, Zhen

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.2152 [Periódico revisado por pares]

Basel: MDPI AG

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9
Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity
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Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity

Wang, Xiaomi ; Liu, Jiuhong ; Peng, Peng ; Chen, Yiyun ; He, Shan ; Yang, Kang

Remote sensing (Basel, Switzerland), 2023-12, Vol.15 (23), p.5550 [Periódico revisado por pares]

Basel: MDPI AG

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10
Enhanced Detection of Artisanal Small-Scale Mining with Spectral and Textural Segmentation of Landsat Time Series
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Enhanced Detection of Artisanal Small-Scale Mining with Spectral and Textural Segmentation of Landsat Time Series

Fonseca, Alejandro ; Marshall, Michael Thomas ; Salama, Suhyb

Remote sensing (Basel, Switzerland), 2024-05, Vol.16 (10), p.1749 [Periódico revisado por pares]

Basel: MDPI AG

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