A5001573772- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Coastal wetland ecosystem dynamics
- Remote-Sensing Image Classification
- Wheat and Barley Genetics and Pathology
- Environmental Changes in China
- Soil erosion and sediment transport
- Hydrology and Watershed Management Studies
- Soil Geostatistics and Mapping
- Ecosystem dynamics and resilience
- Soil Moisture and Remote Sensing
- Yeasts and Rust Fungi Studies
- Flood Risk Assessment and Management
- Ecology and Vegetation Dynamics Studies
- Plant Disease Resistance and Genetics
- Coastal and Marine Management
- Atmospheric aerosols and clouds
- Geochemistry and Geologic Mapping
- Climate Change and Health Impacts
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Soil and Land Suitability Analysis
- Genetic Mapping and Diversity in Plants and Animals
University of California, Irvine
2022-2025
Institute of Geographic Sciences and Natural Resources Research
2015-2024
Chinese Academy of Sciences
2015-2024
Chengdu Research Base of Giant Panda Breeding
2022-2024
State Key Laboratory of Optoelectronic Materials and Technology
2024
Sun Yat-sen University
2017-2024
Shanghai Power Equipment Research Institute
2024
Shanghai Electric (China)
2024
State Key Laboratory of Resources and Environmental Information System
2010-2023
University of Chinese Academy of Sciences
2012-2023
A new tasselled cap transformation based on Landsat 7 at-satellite reflectance was developed. This is most appropriate for regional applications where atmospheric correction not feasible. The brightness, greenness and wetness of the derived collectively explained over 97% spectral variance individual scenes used in this study.
Normalized Difference Vegetation Index (NDVI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data has been widely used in the fields of crop and rice classification. The cloudy rainy weather characteristics monsoon season greatly reduce likelihood obtaining high-quality optical remote sensing images. In addition, diverse crop-planting system Vietnam also hinders comparison NDVI among different stages. To address these problems, we apply a Dynamic Time Warping...
Spatial distribution information offers a valuable resource for the growing research on evaluating and managing aquaculture mechanism of its interaction with environment, especially concerning landside clustering ponds (LCAP). However, studies aimed at obtaining data global LCAP remains limited. This study combined edge detection morphology implemented Google Earth Engine (GEE) platform to produce first spatial using 4,015,054 tiles 10-m Sentinel-2 time-series images collected throughout...
Parameters for the tasselled cap transformation (TCT) have been derived many sensors since 1976. There concerns about comparability of TCT brightness (TCTB), greenness (TCTG), and wetness (TCTW) from different because number bandwidth spectral bands are not exactly same derivation methods vary. In this research, comparisons between components combination images with a considered. First, new based on data set Landsat 8 Operational Land Imager top atmosphere (OLI TOA) reflectance was...
The Yellow River Delta (YRD), located in estuary, is characterized by rich ecological system types, and provides habitats or migration stations for wild birds, all of which makes the delta an barrier ecotone inland areas. Nevertheless, abundant natural resources YRD have brought huge challenges to area, frequent human activities disasters damaged systems seriously, certain functions been threatened. Therefore, it necessary determine status environment based on scientific methods, can provide...
Mangrove forests, which are essential for stabilizing coastal ecosystems, have been suffering from a dramatic decline over the past several decades. Mapping mangrove forests using satellite imagery is an efficient way to provide key data forest conservation. Since periodically submerged by tides, current methods of mapping normally based on single-date, remote-sensing imagery, often underestimate spatial distribution especially when images used were recorded during high-tide periods. In this...
Human activities can affect soil nutrients, thereby influencing river water quality. The spatial pattern of precipitation also impacts distributions In this paper, we employed a method that combines point survey, soil, and quality data to analyze the relationships between precipitation, nutrient in basin on basis field surveys laboratory analysis. ordinary kriging was applied interpolate data, analyzed. samples main stream were collected during both dry rainy seasons nutrients. results...
Identifying sources of phytopathogen inoculum and determining their contributions to disease outbreaks are essential for predicting development establishing control strategies. Puccinia striiformis f. sp. tritici (Pst), the causal agent wheat stripe rust, is an airborne fungal pathogen with rapid virulence variation that threatens production through its long-distance migration. Because wide in geographic features, climatic conditions, systems, Pst related dispersal routes China largely...
To improve the accuracy of winter wheat yield estimation, Crop Environment Resource Synthesis for Wheat (CERES-Wheat) model with an assimilation strategy was performed by assimilating measured or remotely-sensed leaf area index (LAI) values. The performances crop two different methods were compared employing particle filters (PF) and proper orthogonal decomposition-based ensemble four-dimensional variational (POD4DVar) strategies. uncertainties estimates due to temporal scales (phenological...
Accurate winter wheat identification and phenology extraction are essential for field management agricultural policy making. Here, we present mechanisms of discrimination phenological detection in the Yellow River Delta (YRD) region using moderate resolution imaging spectroradiometer (MODIS) time-series data. The normalized difference vegetation index (NDVI) was obtained by calculating surface reflectance red infrared. We used Savitzky-Golay filter to smooth time series NDVI curves. adopted...
Land cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created variety land products covering entire globe. provide reference for researchers studying Arctic, this paper evaluates four commonly used products. First, we compare and analyze from perspectives type, distribution spatial heterogeneity. Second, evaluate accuracy such by using two sets sample points collected Arctic region. Finally, obtain consistency...
Accurate remote sensing and mapping of land cover in the tropics remain difficult tasks since data gaps a heterogenic landscape make it challenging to perform classification. In this paper, we proposed multi-feature classification method integrate temporal statistical features with spectral textural features. This is designed improve accuracy cloud-prone tropical regions. Sentinel-2 images were used construct an NDVI stack for time-series analysis characterize variance cover. Two indices...
As a result of global climate change, the frequency and intensity heat waves have increased significantly. According to World Meteorological Organization (WMO), extreme temperatures in southwestern Pakistan exceeded 54 °C successive years. The identification assessment heat-health vulnerability (HHV) are important for controlling heat-related diseases mortality. At present, many definitions. To better describe wave mortality risk, we redefine by regarding most frequent temperature (MFT) as...
Keyphrases play a key role in text indexing, summarization and categorization. However, most of the existing keyphrase extraction approaches require human-labeled training sets. In this paper, we propose an automatic algorithm, which can be used both supervised unsupervised tasks. This algorithm treats each document as semantic network. Structural dynamics network are to extract keyphrases (key nodes) unsupervised. Experiments demonstrate proposed averagely improves 50% effectiveness 30%...
The expansion of rubber (Hevea brasiliensis) plantations has been a critical driver for the rapid transformation tropical forests, especially in Thailand. Rubber plantation mapping provides basic information surveying resources, updating forest subplot information, logging, and managing forest. However, due to diversity stand structure, complexity growth environment, similarity spectral characteristics between trees natural it is difficult discriminate from using only information. This study...
Timely and accurate regional rice paddy monitoring plays a significant role in maintaining the sustainable production, food security, agricultural development. This study proposes an operational automatic approach to mapping paddies using time-series SAR data. The proposed method integrates Sentinel-1 data, auxiliary data of global surface water, phenological characteristics with Google Earth Engine cloud computing platform. A total 402 scenes from 2017 were used for extent Mun River basin....
High-precision spatial mapping of paddy planting areas is very important for food security risk assessment and agricultural monitoring. Previous studies have mainly been based on multi-source satellite imagery, the fusion Synthetic Aperture Radar (SAR) with optical data, combined use multi-scale sensors. However, there few using collaborative remote sensing product information, especially in tropical regions such as Southeast Asia. Therefore, Google Earth Engine (GEE) platform, this study,...