Danfeng Sun

ORCID: 0000-0003-0679-7340
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Soil Geostatistics and Mapping
  • Environmental Changes in China
  • Rangeland Management and Livestock Ecology
  • Geochemistry and Geologic Mapping
  • Environmental Quality and Pollution
  • Remote-Sensing Image Classification
  • Heavy metals in environment
  • Ecosystem dynamics and resilience
  • Environmental and Agricultural Sciences
  • Urban Heat Island Mitigation
  • Remote Sensing and LiDAR Applications
  • Species Distribution and Climate Change
  • Wetland Management and Conservation
  • Water Quality and Pollution Assessment
  • Soil and Land Suitability Analysis
  • Wildlife-Road Interactions and Conservation
  • Marine and coastal ecosystems
  • Smart Agriculture and AI
  • Climate variability and models
  • Climate change impacts on agriculture
  • Groundwater and Isotope Geochemistry
  • Ecology and Vegetation Dynamics Studies

China Agricultural University
2015-2024

Ministry of Natural Resources
2014-2024

State Key Laboratory of Remote Sensing Science
2017-2023

Ministry of Agriculture and Rural Affairs
2019

Shanghai Jiao Tong University
2013

Renji Hospital
2013

Sanda University
2013

Nanjing Normal University
2010

Production of high quality interpolation maps heavy metals is important for risk assessment environmental pollution. In this paper, the spatial correlation characteristics information obtained from Moran’s I analysis was used to supplement traditional geostatistics. According analysis, four distances were and as active lag distance calculate semivariance. Validation optimality semivariance demonstrated that using two where standardized I, Z(I) reached a maximum can improve fitting accuracy...

10.3390/ijerph9030995 article EN International Journal of Environmental Research and Public Health 2012-03-19

10.1016/j.jenvman.2005.08.004 article EN Journal of Environmental Management 2005-12-06

This study explored the spatial pattern of heavy metals in Beijing agricultural soils using Moran’s I statistic autocorrelation. The global result showed that dependence Cr, Ni, Zn, and Hg changed with different weight matrixes, they had significant positive correlations based on distance weight. four was scale-dependent distance, but these scale effects existed within a threshold 13 km, 32 50 29 respectively for Hg. maximal correlation range 57 70 55 km Hg, were not affected by sampling...

10.3390/ijerph8062074 article EN International Journal of Environmental Research and Public Health 2011-06-08

Despite their important contribution to the economic domain, active heat-releasing industrial plants have significant implications for human health and climate change. However, a spatially detailed dataset of various sectors large-scale characterization heat emissions from sources not been reported yet. In this study, industries was established using national detection map thermal anomalies produced by novel more accurate method employing daily nighttime visible infrared imaging radiometer...

10.1021/acs.est.9b02643 article EN Environmental Science & Technology 2019-08-15

Wind erosion is one of the major environmental problems in drylands. Identifying dominant natural factors wind and using targeted treatment measures are key steps control. Using Horqin Left Back Banner China as a case study, we applied revised equation to simulate spatial distribution semi-arid sandy area. Contribution assessment constraint line analysis were used investigate contributions driving forces changes. The results showed that whole area was reduced by 0.35 t/hm2·a from 2005 2016....

10.3390/su11010188 article EN Sustainability 2019-01-01

Bathymetric mapping is integral to maintaining marine ecosystems, managing coastal zones, and safeguarding the environment. However, achieving accurate large-scale bathymetric maps remains a challenge in China, particularly nearshore turbid waters. To address this gap, we leveraged seasonal Gaofen-6 (GF-6) data conduct bathymetry Yellow River Delta-Laizhou Bay area. In our study, found that longer wavelengths, such as those red-edge2 near-infrared (NIR) bands, exhibited superior performance...

10.1016/j.ecoinf.2024.102497 article EN cc-by-nc-nd Ecological Informatics 2024-01-23

Understanding the effects of intensive agricultural land use activities on water resources is essential for natural resource management and environmental improvement. In this paper, multi-scale nested watersheds were delineated relationships between two representative quality indexes intensity assessed quantified year 2000 using regression analysis. The results show that log-transformed nitrate-nitrogen (NO3-N) index exhibited a relationship with chemical fertilizer input several factors,...

10.3390/ijerph9114170 article EN International Journal of Environmental Research and Public Health 2012-11-15

10.1016/j.jag.2015.04.015 article EN International Journal of Applied Earth Observation and Geoinformation 2015-04-27

10.1007/s10661-005-4221-9 article EN Environmental Monitoring and Assessment 2005-09-01

Selecting samples with high representativeness is very important in the accuracy assessment of land use and cover (LULC) classification. By optimizing sampling sites both feature space geographical space, this paper presented a stratified even method for GlobeLand30 dataset Beijing, China. In method, spatial stratification area-weighted proportion assignment were adopted to achieve optimal coverage space; spatial-simulated annealing (SSA) minimization mean shortest distances (MMSD) criterion...

10.1080/01431161.2020.1739349 article EN International Journal of Remote Sensing 2020-06-09

Alternative state theory with catastrophe conceptual model is very attractive for dryland zero net land degradation (ZNLD) management, but practically challenging mapping cover and pathway conventional approaches. This paper developed a methodological framework in the generic spectral endmember space (SVD, soils substrates, vegetation, dark surface endmembers ) of Landsat-8 OLI (operational imager) imagery to concretize based on co-development plant soil variables landscape. A function index...

10.1080/01431161.2019.1580795 article EN International Journal of Remote Sensing 2019-02-18

Recently, studies have focused more attention on surface feature extraction using thermal infrared remote sensing (TIRS) as supplementary materials. Innovatively, in this paper, three-date (winter, early spring, and end of spring) TIRS Band 10 images Landsat-8, we proposed an empirical normalized difference a seasonal brightness temperature index (NDSTI) for enhancing built-up area based the contrast heat emission response to solar radiation, adopted decision tree classification method...

10.3390/rs9111126 article EN cc-by Remote Sensing 2017-11-04

Abstract Predicting future land system changes driven by anthropogenic and climactic impacts can help to explore adaptation mitigation pathways for regional global sustainable development. Here, we project cover in China from 2030 2100 at a resolution of 1 km × under eight scenarios based on the Scenario Model Intercomparison Project (ScenraioMIP), which are extracted Land Use Harmonization version 2 (LUH2). We use rule‐based method classify map 9 dynamic trajectories patch scale present...

10.1029/2022ef003406 article EN cc-by-nc-nd Earth s Future 2023-10-01
Coming Soon ...