A5100366742- Remote Sensing and Land Use
- Atmospheric chemistry and aerosols
- Environmental Changes in China
- Climate change and permafrost
- Cryospheric studies and observations
- Air Quality and Health Impacts
- Arctic and Antarctic ice dynamics
- Remote-Sensing Image Classification
- Rangeland Management and Livestock Ecology
- Paleontology and Stratigraphy of Fossils
- Geology and Paleoclimatology Research
- Air Quality Monitoring and Forecasting
- Atmospheric Ozone and Climate
- Advanced Image and Video Retrieval Techniques
- Remote Sensing in Agriculture
- Advanced Neural Network Applications
- Landslides and related hazards
- Evolution and Paleontology Studies
- Advanced Image Fusion Techniques
- Climate variability and models
- Environmental and Agricultural Sciences
- Geochemistry and Geologic Mapping
- Additive Manufacturing Materials and Processes
- Atmospheric aerosols and clouds
- High Entropy Alloys Studies
Chang'an University
2009-2025
Northwest Institute of Eco-Environment and Resources
2020-2024
Chinese Academy of Sciences
2012-2024
Shaanxi Provincial Land Engineering Construction Group
2023-2024
Nanjing University of Information Science and Technology
2022-2023
China Meteorological Administration
2022-2023
Lanzhou University
2023
Shanghai Ocean University
2023
Jangan University
2023
Bridge University
2023
Abstract Blue-ice areas (BIAs) and their geographical distribution in Antarctica were mapped using Landsat-7 ETM+ images with 15 m spatial resolution obtained during the 1999–2003 austral summers covering area north of 82.5° S, a snow grain-size image MODIS-based Mosaic (MOA) dataset 125 grid spacing acquired 2003/04 summer from 82.5°S to South Pole. A map BIAs was created algorithms thresholds based on band ratio reflectance for data grain size MOA dataset. The underlying principle is that...
Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, airborne hyperspectral shows detailed spatial information and temporal flexibility, which open a new way accurate agricultural monitoring. To extract crop types from images, we propose fine classification method based on multi-feature fusion deep learning. In this research, morphological profiles, GLCM texture endmember...
Research Article| August 01, 1991 Geochemical evidence for a catastrophic biotic event at the Frasnian/Famennian boundary in south China Kun Wang; Wang 1Department of Geology, University Alberta, Edmonton, Alberta T6G 2E3, Canada Search other works by this author on: GSW Google Scholar Charles J. Orth; Orth 2Los Alamos National Laboratory, Los Alamos, New Mexico 87545 Moses Attrep, Jr.; Jr. Brian D. E. Chatterton; Chatterton Hongfei Hou; Hou 3Institute Chinese Academy Geological Sciences,...
There are many drawbacks in traditional loess-strengthening technology. MICP (microbially induced calcium carbonate precipitation) technology provides a new approach to loess management, but there few studies on solidification and lack of engineering application research verification. This study investigated the strength microscopic mechanisms solidified by combined with plant straw. The permeability conditions for were derived, multiple sets experiments conducted using specific loess,...
Climate warming causes permafrost degradation that not only leads to the release of greenhouse gases atmosphere, but also soil moisture increases due ground ice melt. These processes are particularly prevalent in peat-rich and ice-rich regions. Peat is important because its high organic matter content moisture. Although previous work has focused on importance two factors, their precise quantitative impact still clear. Here we apply Geophysical Institute Permafrost Laboratory model...
Abstract Deep neural networks combined with superpixel segmentation have proven to be superior high-resolution remote sensing image (HRI) classification. Currently, most HRI classification methods that combine deep learning and use stacking on multiple scales extract contextual information from segmented objects. However, this approach does not take into account the dependencies between each object. To solve problem, a joint Transformer (JST) framework is proposed for In JST, first objects...
Under the background of climate change, Northeast Passage’s navigability is on rise. Arctic sea fog significantly influences navigational efficiency in this region. Existing research primarily focuses routes accumulating lowest distance, neglecting with time and fog’s influence route planning efficiency. This study compares fastest shortest analyzes impact Passage from June to September (2001–2020). The results show that coastal areas are covered less ice under notable monthly variations....
Research Article| January 01, 1992 Iridium abundance maxima at the latest Ordovician mass extinction horizon, Yangtze Basin, China:Terrestrial or extraterrestrial? Kun Wang; Wang 1Department of Geology, University Alberta, Edmonton, Alberta T6G 2E3, Canada Search for other works by this author on: GSW Google Scholar Brian D. E. Chatterton; Chatterton Moses Attrep, Jr.; Jr. 2Los Alamos National Laboratory, Los Alamos, New Mexico 87545 Charles J. Orth Geology (1992) 20 (1): 39–42....
Oriented object detection is one of the most fundamental and challenging tasks in remote sensing, aiming to locate classify objects with arbitrary orientations. Recent years have witnessed remarkable progress oriented using deep learning techniques. Given rapid development this field, paper aims provide a comprehensive survey recent advances detection. To be specific, we first review technical evolution from horizontal summarize specific challenges, including feature misalignment, spatial...
Xuesong Tianab*, Zejin Shicd, Guan Yine, Hongyu Longd & Kun Wangda Nanjing Institute of Geology and Palaeontology, Chinese Academy Sciences, Nanjing, Chinab University Beijing, Chinac State Key Laboratory Oil Gas Reservoir Exploitation, Chengdu Technology, Chengdu, Chinad College Energy Sciences Resources, Chinae Earth China
Abstract The Himalayas and Tibetan Plateau, identified as the Third Pole (TP), is a unique region because of its insertion into global environmental climatic changes. Deposition atmospheric nitrate in this one most important sources reactive nitrogen to glacial‐hydrologic system ecosystems. isotopic composition atmospherically deposited preserved ice bodies plays central role delineating changes, present, past. Here, we provide an overview complete compositions (δ 15 N, δ 18 O, Δ 17 O)...
Abstract This paper takes landslide as a special research object. For the problems of detection in remote sensing images, deep learning and playback method is adopted. On basis YOLOv3 network combining with Gabor filter, its edge detection, anchor frame small object scale are improved optimized. By adding control factor, K-means, K-means + +, k-medoid ISODATA, four clustering algorithms to evaluate accuracy add target large-scale sampling, YOLOv3(ISODATA) model was finally established for...
Wang, K.; Zhou, Z.; Liao, J., and Fu, Y., 2015. The application of high resolution SAR in mountain area Karst tobacco leaf index estimation model.Karst is cloudy rainy weather, surface broken, land distribution not concentrated, crop inter-planting, which cause the conventional remote sensing monitoring methods cannot meet need real-time monitoring. In order to realize modern agriculture, study on selection synthetic aperture radar was applied mountainous model. Guizhou qingzhen national...