199   Artículos

 
en línea
Minghao Liu, Qingxi Luo, Jianxiang Wang, Lingbo Sun, Tingting Xu and Enming Wang    
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth?s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yanan Sun, Huayu Zhong, Yibo Ding, Huanjie Cai and Xiongbiao Peng    
Owing to limited research on the interactions between cropland vegetation and climate and irrigation, this study used the normalized difference vegetation index (NDVI) as a cropland vegetation indicator to describe vegetation dynamics. Potential evapotra... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Xie Lian, Xiaolong Hu, Liangsheng Shi, Jinhua Shao, Jiang Bian and Yuanlai Cui    
The parameters of the GR4J-CemaNeige coupling model (GR4neige) are typically treated as constants. However, the maximum capacity of the production store (parX1) exhibits time-varying characteristics due to climate variability and vegetation coverage chan... ver más
Revista: Water    Formato: Electrónico

 
en línea
Shuqi Jiang, Jiankui Yu, Shenglin Li, Junming Liu, Guang Yang, Guangshuai Wang, Jinglei Wang and Ni Song    
This research provides a comprehensive analysis of the spatiotemporal evolution of the regional cropping structure and its influencing factors. Using Landsat satellite images, field surveys, and yearbook data, we developed a planting structure extraction... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Amalia Nafisah Rahmani Irawan and Daisuke Komori    
There is valuable information that can be obtained beyond using a fixed crop calendar with coarse spatial resolution. Knowing the dynamics of the timing and location in which a particular crop is planted and harvested, with an annual temporal resolution ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Jhon Lennon Bezerra da Silva, Marcos Vinícius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Pabrício Marcos Oliveira Lopes, Henrique Fonseca Elias de Oliveira, Josef Augusto Oberdan Souza Silva, Márcio Mesquita, Ailton Alves de Carvalho, Alan Cézar Bezerra, José Francisco de Oliveira-Júnior, Maria Beatriz Ferreira, Iara Tamires Rodrigues Cavalcante, Elania Freire da Silva and Geber Barbosa de Albuquerque Moura    
Northeast Brazil (NEB), particularly its semiarid region, represents an area highly susceptible to the impacts of climate change, including severe droughts, and intense anthropogenic activities. These stresses may be accelerating environmental degradatio... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Yuan Tian and Xiuyi Shi    
In order to cope with global climate warming, measurement of the low-carbon utilization efficiency (LCUE) of cultivated land, considering carbon sink and carbon emission effects, is proposed. To address this, based on the data of 30 provinces in China, t... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Ali Uzunlar and Muhammet Omer Dis    
The hydrological cycle should be scrutinized and investigated under recent climate change scenarios to ensure global water management and to increase its utilization. Although the FAO proposed the use of the Penman?Monteith (PM) equation worldwide to pre... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yuyin Chen, Yongqiang Zhang, Jing Tian, Zixuan Tang, Longhao Wang and Xuening Yang    
As extreme climate events become more common with global warming, groundwater is increasingly vital for combating long-term drought and ensuring socio-economic and ecological stability. Currently, the mechanism of meteorological drought propagation to gr... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan    
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t... ver más
Revista: Water    Formato: Electrónico

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