[HTML][HTML] Simulation of land use spatial pattern of towns and villages based on CA–Markov model
L Sang, C Zhang, J Yang, D Zhu, W Yun - Mathematical and Computer …, 2011 - Elsevier
Firstly, this paper analyzes the basic principles and processes of the spatial pattern changes
of land use in towns and villages, and the result shows that the land resource demands of …
of land use in towns and villages, and the result shows that the land resource demands of …
Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model
…, Y Huang, W Su, X Zhang, D Zhu… - Agricultural and Forest …, 2015 - Elsevier
To predict regional-scale winter wheat yield, we developed a crop model and data assimilation
framework that assimilated leaf area index (LAI) derived from Landsat TM and MODIS …
framework that assimilated leaf area index (LAI) derived from Landsat TM and MODIS …
Monitoring winter wheat drought threat in Northern China using multiple climate-based drought indices and soil moisture during 2000–2013
…, X Zhang, P Wang, C Zhang, Y Chen, D Zhu… - Agricultural and forest …, 2016 - Elsevier
Increasing drought poses a big threat to food security over recent decades, highlighting the
need for effective tools and adequate information for drought monitoring and mitigation. This …
need for effective tools and adequate information for drought monitoring and mitigation. This …
Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model
To estimate regional-scale winter wheat (Triticum aestivum) yield, we developed a data-assimilation
scheme that assimilates remotely sensed reflectance into a coupled crop growth–…
scheme that assimilates remotely sensed reflectance into a coupled crop growth–…
Spatial patterns of county-level arable land productive-capacity and its coordination with land-use intensity in mainland China
Abstract Evaluation of arable land ecosystem services capacity and arable land-use intensity
(ALUI) is important for recognising key regional factors that impact arable land attributes …
(ALUI) is important for recognising key regional factors that impact arable land attributes …
[HTML][HTML] Spatial pattern of cultivated land fragmentation in mainland China: Characteristics, dominant factors, and countermeasures
Systematically recognizing spatial patterns and driving factors of cultivated land fragmentation
is of great significance for the exploration of locally appropriate path to relieve cultivated …
is of great significance for the exploration of locally appropriate path to relieve cultivated …
Spatial pattern of arable land-use intensity in China
In recent years, the sustainable utilization of China’s arable land has been confronted with
several challenges. The China government has been very strict in arable land protection, and …
several challenges. The China government has been very strict in arable land protection, and …
Enabling the big earth observation data via cloud computing and DGGS: Opportunities and challenges
…, J Xia, J Ben, Q Cao, L Zhao, Y Ma, L Zhang, D Zhu - Remote Sensing, 2019 - mdpi.com
In the era of big data, the explosive growth of Earth observation data and the rapid
advancement in cloud computing technology make the global-oriented spatiotemporal data …
advancement in cloud computing technology make the global-oriented spatiotemporal data …
Multisource hyperspectral and LiDAR data fusion for urban land-use mapping based on a modified two-branch convolutional neural network
Accurate urban land-use mapping is a challenging task in the remote-sensing field. With the
availability of diverse remote sensors, synthetic use and integration of multisource data …
availability of diverse remote sensors, synthetic use and integration of multisource data …
[HTML][HTML] Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids
S Yan, X Yao, D Zhu, D Liu, L Zhang, G Yu… - International Journal of …, 2021 - Elsevier
The spatial distribution of crops is an important agricultural parameter, which is used to derive
important information about crop productivity and food security. However, crop mapping …
important information about crop productivity and food security. However, crop mapping …