A5024243150- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Climate change impacts on agriculture
- Crop Yield and Soil Fertility
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Remote-Sensing Image Classification
- Cryospheric studies and observations
- Karst Systems and Hydrogeology
- Wildlife-Road Interactions and Conservation
- Hydrology and Drought Analysis
- Pharmacological Effects of Natural Compounds
- Fire effects on ecosystems
- Climate variability and models
- Horticultural and Viticultural Research
- Plant Water Relations and Carbon Dynamics
- Agricultural Innovations and Practices
- Plant Pathogens and Resistance
- Soil Geostatistics and Mapping
- Soil Carbon and Nitrogen Dynamics
- Plant nutrient uptake and metabolism
Northwest A&F University
2022-2024
Chinese Academy of Sciences
2015-2020
University of Chinese Academy of Sciences
2017-2020
Aerospace Information Research Institute
2019-2020
Institute of Remote Sensing and Digital Earth
2015-2019
National Administration of Surveying, Mapping and Geoinformation of China
2017
The use of a fast and accurate unmanned aerial vehicle (UAV) digital camera platform to estimate leaf area index (LAI) kiwifruit orchard is great significance for growth, yield estimation, field management. LAI, as an ideal parameter estimating vegetation plays significant role in reflecting crop physiological process ecosystem function. At present, LAI estimation mainly focuses on winter wheat, corn, soybean, other food crops; addition, forest research also predominant, but there are few...
In North Korea, reliable and timely information on crop acreage spatial distribution is hard to obtain. this study, we developed a fast robust method estimate in Korea using time-series normalized difference vegetation index (NDVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) data. We proposed identify type based NDVI phenology features data collected other areas with similar agri-environmental conditions mitigate shortage of ground truth Eventually classification...
Cropland is crucial for regional food security, especially in vulnerable areas like the Tibetan Plateau. Accurate monitoring was hindered of cropland distribution due to complex topography and diverse crop phenology, making it challenging assess its agricultural sustainability. To address this, this study aimed develop a identification approach based on an optimal feature knowledge graph (OIFKG) derived from time series remote sensing data. OIFKG (C_OIFKG) enhanced accuracy by 96.6%, with...
Grape is an economic crop of great importance and widely cultivated in China. With the development remote sensing, abundant data sources strongly guarantee that researchers can identify types map their spatial distributions. However, to date, only a few studies have been conducted vineyards using satellite image data. In this study, vineyard identified images, new approach proposed integrates continuous wavelet transform (CWT) convolutional neural network (CNN). Specifically, original time...
The sparse Ulmus pumila L. woodland in the Otingdag Sandy Land of China is indispensable maintaining ecosystem stability desertified grasslands. Many studies this region have focused on community structure and analysis species composition, but without consideration spatial distribution. Based a combination spectral multiscale variation features, we present method for automated extraction information U. trees using very high resolution remote sensing imagery. In method, feature images were...
Abstract Seeking food security, contemporary Chinese agriculture has followed a trajectory of overfertilization and associated environmental problems, hence the need for nitrogen-balancing practices that do not compromise yield quality. Here we present national meta-analysis using 224 studies with 1972 comparisons to quantify potential reduce nitrogen (N) fertilization improve outcomes while maintaining grain protein. We calculated reduction ratio (NRR), as 100 × ( N C − T )/ ; where is...
Yellow rust (Puccinia striiformis f. sp. Tritici) and aphid (Sitobion avenae F.) are two major biotic factors threatening winter wheat growth in the main growing region northern China. The goal of this study was to develop a remote sensing based approach reliably detect discriminate yellow infection. conducted North China Plain 2017 on RapidEye satellite images using three supervised classification algorithms, maximum-likelihood classifier, support vector machine, random forest. An overall...
In some practical classification applications, our focus may be just a specific crop (e.g., rice, corn, or soybean). Therefore, how to distinguish the of interest from other classes accurately and quickly is an issue worth studying. We propose approach that combines whitening transformation (WT)/interest-class-based (ICWT) one-class (OCC) methods identify interest. The image created by applying WT/ICWT original referred as totally/partially whitened image, respectively. Three typical OCC...
Ample supplies of grain and other agricultural products is very important in China because the huge population limited arable land resources. Recently, issued an strategic decision for synergy development Beijing-Tianjin-Hebei (BTH) region, which plays a significant role leading national economic development, but lost more cropland So, policies must take consideration their effects on balance regional supply demand products, such as vegetables, etc., to maintain economy's steady development....
In this study, an empirical assessment approach for the risk of crop loss due to water stress was developed and used evaluate winter wheat in China, United States, Germany, France Kingdom. We combined statistical remote sensing data on yields with climate cropland distribution model effect from 1982 2011. The average value three European countries about −931 kg/ha, which higher than that China (−570 kg/ha) States (−367 kg/ha). Our study has important implications operational at a country or...
Human diets strongly rely on wheat, maize, rice and soybean; research the potential crop productivity of these four main crops could provide basis for increasing global yields. The evaluation model realistic based remote sensing agro-ecological zones was proposed in this study to reliable reference data world food security. statistical yields were obtained from FAO. used investigate production staple world. distributions (winter soybean) produced. In producing countries crops, analysis...