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Devendra M. Amatya, Timothy J. Callahan, Sourav Mukherjee, Charles A. Harrison, Carl C. Trettin, Andrzej Walega, Dariusz Mlynski and Kristen D. Emmett
Hydrology and meteorological data from relatively undisturbed watersheds aid in identifying effects on ecosystem services, tracking hydroclimatic trends, and reducing model uncertainties. Sustainable forest, water, and infrastructure management depends o...
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Shuchen Niu, Xiang Luo, Tiantian Yang, Guodong Lin and Chongming Li
Improving urban land green use efficiency (ULGUE) is an effective way to increase social, economic, and ecological benefits and achieve regional sustainable development goals. This study takes three batches of low-carbon pilot cities construction as a qu...
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Emili Bezerra, Salomão Mafalda, Ana Beatriz Alvarez, Diego Armando Uman-Flores, William Isaac Perez-Torres and Facundo Palomino-Quispe
Remote sensing involves actions to obtain information about an area located on Earth. In the Amazon region, the presence of clouds is a common occurrence, and the visualization of important terrestrial information in the image, like vegetation and temper...
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Hongbo Liu, Bin Wu, Jianghui Zhang, Yungang Bai, Xianwen Li and Bo Zhang
Interlayer soil is common in southern Xinjiang, because interlayer can reduce the infiltration rate of soil water. To simulate the interlayer soil in heavy saline?alkali cotton fields, this paper adopted a vertical one-dimensional infiltration test. T1 (...
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Jiahui Zhao, Zhibin Li, Pan Liu
Pág. 19?41
The land-use identification process, which involves quantifying the types and intensity of human activities at a regional level, is a critical investigation step for ongoing land-use planning. One limitation of land-use identification practices is that t...
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Hongsi Gao, Xiaochun Zhang, Xiugui Wang and Yuhong Zeng
The assessment of crop water productivity (CWP) is of practical significance for improving regional agricultural water use efficiency and water conservation levels. The remote sensing method is a common method for estimating large scale CWP, and the asse...
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Alysha van Duynhoven and Suzana Dragicevic
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to m...
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Irina Pilvere, Aleksejs Nipers, Agnese Krievina, Ilze Upite and Daniels Kotovs
Today?s global food system (including production, transportation, processing, packing, storage, retail sale, consumption, losses and waste) provides income to more than a billion people all over the world and makes up a significant part of many countries...
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Kezhen Yao, Saini Yang, Shengnan Wu and Bin Tong
Landslide susceptibility assessment serves as a critical scientific reference for geohazard control, land use, and sustainable development planning. The existing research has not fully considered the potential impact of the spatial agglomeration and disp...
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Ayad Hammadi, Eric J Miller
Pág. 219 - 253
A traffic impact sketch planning (TISP) model is presented for the estimation of the likely travel demand generated by a major land-use development or redevelopment project. The proposed approach overcomes the problems with the non-behavioral transportat...
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