Yulong Bao

ORCID: 0009-0004-5942-151X
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Climate variability and models
  • Remote Sensing and Land Use
  • Plant Water Relations and Carbon Dynamics
  • Cryospheric studies and observations
  • Meat and Animal Product Quality
  • Land Use and Ecosystem Services
  • Food composition and properties
  • Environmental and Agricultural Sciences
  • Plant responses to water stress
  • Rangeland Management and Livestock Ecology
  • Aeolian processes and effects
  • Environmental Changes in China
  • Hydrology and Drought Analysis
  • Rice Cultivation and Yield Improvement
  • Microbial Metabolites in Food Biotechnology
  • Climate change and permafrost
  • Advanced Chemical Sensor Technologies
  • Climate change impacts on agriculture
  • Hydrology and Watershed Management Studies
  • Polyamine Metabolism and Applications
  • Meteorological Phenomena and Simulations
  • Aquaculture Nutrition and Growth
  • Tree-ring climate responses

Inner Mongolia Normal University
2016-2025

Inner Mongolia Autonomous Region Meteorological Bureau
2025

State Key Laboratory of Remote Sensing Science
2024

Jiangsu University
2023-2024

Mongolian National University of Medical Sciences
2023

State Key Laboratory of Food Science and Technology
2019

Jiangnan University
2019

Mongolian Academy of Sciences
2018

Northeast Normal University
2011-2013

Ministry of Education of the People's Republic of China
2012

In this paper, an Urban Light Index (ULI) is constructed to facilitate analysis and quantitative evaluation of the process urbanization expansion rate by using DMSP/OLS Nighttime Data during years from 1992 2010. A unit circle model established perform a comprehensive 34 prefecture-level cities in Northeast China. Furthermore, concept urban light space put forward. study, divided into four types: core area, transition zone between suburban areas, area fluorescent space. Proceeding temporal...

10.3390/s140203207 article EN cc-by Sensors 2014-02-18

In recent years, global warming and intense human activity have been responsible for significantly altering vegetation dynamics on the Mongolian Plateau. Understanding long-term in this region is important to assess impact of these changes local ecosystem. Long-term (1982–2015), satellite-derived normalized difference index (NDVI) datasets were used analyse spatio-temporal patterns activities using linear regression breaks additive season trend methods. The links between temperature,...

10.3390/rs13040688 article EN cc-by Remote Sensing 2021-02-13

Inner Mongolia in China is a typically arid and semi-arid region with vegetation prominently affected by global warming human activities. Therefore, investigating the past future change its impact mechanism important for assessing stability of ecosystem ecological policy formulation. Vegetation changes, sustainability characteristics, natural anthropogenic effects during 2000–2019 were examined using moderate resolution imaging spectroradiometer normalized difference index (NDVI) data....

10.3390/rs13173357 article EN cc-by Remote Sensing 2021-08-24

Using unmanned aerial vehicle (UAV) hyperspectral images to accurately estimate the chlorophyll content of summer maize is great significance for crop growth monitoring, fertilizer management, and development precision agriculture. Hyperspectral imaging data, analytical spectral devices (ASD) SPAD values in different key periods were obtained under conditions a micro-spray strip drip irrigation water supply. The data preprocessed by transformation methods. Then, several algorithms including...

10.3390/rs14215407 article EN cc-by Remote Sensing 2022-10-28

Leaf chlorophyll content (LCC) is a key indicator of crop growth condition. Real-time, non-destructive, rapid, and accurate LCC monitoring paramount importance for precision agriculture management. This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) computer algorithms, to overcome limitations traditional methods. First, equivalent remote sensing reflectance was simulated by UAV hyperspectral images with ground...

10.3390/rs17040572 article EN cc-by Remote Sensing 2025-02-08

As the global climate has changed, studies on relationship between vegetation and have become crucial. We analyzed long-term dynamics diverse responses to extreme changes in Inner Mongolia, based Global Inventory Monitoring Modelling Studies (GIMMS) NDVI3g datasets, as well eight precipitation indices six temperature that are highly correlated with occurrence of droughts or floods, heat cold disasters, growth Mongolia. These datasets were using linear regression analysis, Hurst exponent...

10.3390/atmos9100394 article EN cc-by Atmosphere 2018-10-11

In the context of climate change, remote sensing identification crops is extremely important for rapid development agricultural economy and detailed assessment agro-meteorological disasters. The Jilin Province main grain production area in China, with a reputation being “golden corn belt”. are rice, corn, soybean. A large amount data programming codes from Google Earth engine (GEE) platform allow large-area farmland recognition. However, substantial crop sample information hinders mapping...

10.3390/rs14164028 article EN cc-by Remote Sensing 2022-08-18

This study presents the spatial and temporal patterns of vegetation fires in China based on a combination national fire records (1950–2010) satellite data (2001–12). analysis first attempt to understand existing open their consequences for whole China. We analysed inter- intra-annual trends variations nine subregions as well associated monthly meteorological from 130 stations within 50-year period. During period 2001–12, an average area 3.2 × 106 ha was consumed by per year The Chinese...

10.1071/wf15213 article EN International Journal of Wildland Fire 2017-01-01

Dust storms are common in Mongolia and northern China, this is a serious threat to the ecological security socioeconomic development of both countries surrounding areas. However, complete quantitative study source area, affected moving path dust storm events (DSEs) China still lacking. In study, we monitored analyzed spatiotemporal characteristics area areas DSEs using high-spatiotemporal-resolution images taken by Himawari-8 satellite from March June 2016–2020. addition, calculated dusty...

10.3390/rs14153661 article EN cc-by Remote Sensing 2022-07-30

Modeling and predicting land use/cover change (LUCC) identifying its drivers have been a focus of research over the past few decades. In order to solve problem resource degradation in typical pastoral areas, reveal temporal spatial evolution characteristics LUCC, contradiction between man sustainable development, we analyze Gurvanbulag area Bulgan province, Mongolia, where grassland is relatively serious. The LUCC data 2000, 2010 2019 were obtained through interpreting human-computer...

10.3390/su142315707 article EN Sustainability 2022-11-25

Polarized light has been studied over the past four decades as a useful signal to enhance information from variety of remote sensing applications. In measurement process, Stokes parameters are usually used describe state polarization reflected target surfaces. However, there is no research concerning influence extinction polarizer on properties derived when we perform polarimetric measurements surfaces using spectrometer. this paper, measured six natural (two soil samples, three vegetation...

10.1109/tgrs.2017.2686485 article EN IEEE Transactions on Geoscience and Remote Sensing 2017-04-12

In this study, we used bands 7, 4, and 3 of the Advance Himawari Imager (AHI) data, combined with a Threshold Algorithm visual interpretation method to monitor entire process grassland fires that occurred on China-Mongolia border regions, between 05:40 (UTC) April 19th 13:50 21st 2016. The results AHI data monitoring are evaluated by fire point product wind field environmental information area in which took place. result shows that, burned for two days eight hours total about 2708.29 km². It...

10.3390/s18010276 article EN cc-by Sensors 2018-01-18

Evapotranspiration (ET) plays an important role in the study of regional long-term water cycles. The cycle Mongolia has been seriously affected by global warming and intensification human activities. A significant relationship exists between climate factors ET. In this paper, temporal spatial fluctuations stability ET from 2001 to 2020 were studied using MOD16A2 ET, MOD13A2 NDVI data ERA5-Land. trends analysed Breaks for Additive Season Trend (BFAST) software package, Theil–Sen median trend...

10.3390/rs14081856 article EN cc-by Remote Sensing 2022-04-12

The Mongolian Plateau is an arid and semi-arid region with grassland as its main vegetation. It has a fragile ecosystem sensitive area for global warming. study based on MODIS NDVI data growth season meteorological from 2000 to 2018, this examined the spatial temporal variation characteristics of vegetation during growing using trend analysis, partial correlation residual it explores dual response changes climate human activities. study’s findings demonstrated that average plateau gradually...

10.3389/fevo.2023.1067209 article EN cc-by Frontiers in Ecology and Evolution 2023-02-09

Water use efficiency (WUE) connects two key processes in terrestrial ecosystems: the carbon and water cycles. Thus, it is important to evaluate temporal spatial changes WUE over a prolonged period. The spatiotemporal variation characteristics of Mongolian Plateau from 1982 2018 were analyzed based on net primary productivity (NPP), evapotranspiration (ET), temperature, precipitation, soil moisture. In this study, we used remote sensing data various statistical methods patterns their...

10.3390/s25072214 article EN cc-by Sensors 2025-04-01
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