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Digitizing the thermal and hydrological parameters of land surface in subtropical China using AMSR-E brightness temperatures

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International Journal of Digital Earth 2017年第7期10卷 687-700页

作者： Yongxian Su Xiuzhi Chen Hua Su Liyang Liu Jishan Liao Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangzhouPeople’s Republic of China Jiangsu Key Laboratory of Agricultural Meteorology College of Applied MeteorologyNanjing University of Information Science and TechnologyNanjingPeople’s Republic of China Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical GardenChinese Academy of SciencesGuangzhouPeople’s Republic of China Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education National Engineering Research Centre of Geo-spatial Information TechnologyFuzhou UniversityFuzhouPeople’s Republic of China

Digitizing the land surface temperature(T_(s))and surface soil moisture(m _(v))is essential for developing the intelligent Digital ***,we developed a two parameter physical-based passive microwave remote sensing model for jointly retrieving T_(s) and m_(v) using the dual-polarized T_(b) of Aqua satellite advanced microwave scanning radiometer(AMSR-E)C-band(6.9 GHz)based on the simplified radiative transfer *** using in situ T_(s) and m_(v) in southern China showed the average root mean square errors(RMSE)of T s and m_(v) retrievals reach 2.42 K(R^(2)=0.61,n=351)and 0.025 g cm^(−3)(R^(2)=0.68,n=663),*** results were also validated using global in situ T_(s)(n=2362)and m_(v)(n=1657)of International Soil Moisture *** corresponding RMSE are 3.44 k(R 2=0.86)and 0.039 g cm^(−3)(R^(2)=0.83),*** monthly variations of model-derived Ts and mv are highly consistent with those of the Moderate Resolution Imaging Spectroradiometer T_(s)(R^(2)=0.57;RMSE=2.91 k)and ECV_SM m_(v)(R^(2)=0.51;RMSE=0.045 g cm^(−3)),***,this paper indicates an effective way to jointly modeling T_(s) and m_(v) using passive microwave remote sensing.

关键词： Surface soil moisture land surface temperature physical-based radiative transfer model AMSR-E brightness temperatures

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Landscape pattern analysis of green space in central urban area of Zhuhai city 4

Landscape pattern analysis of green space in central urban a...

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4th International Workshop on Earth Observation and remote sensing Applications, EORSA 2016

作者： Sun, Caige Li, Xiaojun Kaiwen, Zhong Liu, Xulong Liu, Wangshuai Peng, Longjun Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangzhou Institute of Geography Guangzhou China

ISBN: (纸本)9781509014798

Urban green space has significant influence on urban environment. In this paper, 6 types of urban green space were classified precisely through methods of human-computer interaction based on Pléiades images. Distribution pattern of different green space and the spatial structure features of the whole green space in the central urban area in Zhuhai city were analyzed. The results showed that (1) Zhuhai has good ecological environment with high green space rate of 51.54% and per capita green space area of 33.51m2. (2) The population density distribute unevenness and the green space didn't match the population density well. (3) Green space of park and green space of attached land were the main types in the central urban area in Zhuhai city. The composition of green space is different among communities and large differences appeared in various types of different communities.(4) The landscape metrics showed the green space in the central urban area of Zhuhai city had the characteristic of rich types, uniform distribution, high fragmentation and low agglomeration. These results provide data support for Zhuhai's declaration of 'national ecological garden city', and some suggestions proposed will guide for other small and medium-sized cities' urban green space planning and construction. © 2016 IEEE.

关键词： Parks

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The correlation between land use and water quality in the typical urbanized region of China: A case study in the river net area of Pearl River delta

The correlation between land use and water quality in the ty...

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International Workshop on Earth Observation and remote sensing Applications (EORSA)

作者： Xulong Liu Kaiwen Zhong Caige Sun Xiaojun Li Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangzhou Institute of Geography China

The Pearl River delta is one of the most densely populated areas in China, with high urbanization and rapid economic development. The drama change of land use in recent years has been matched by rising pollution of water. With monitoring data of water quality and Landsat OLI8 images 2013, this paper analyzed the relationship between land use and water quality in the river net area of Pearl River delta. Using redundancy analysis method, correlations were conducted at four spatial scales from 100 m to 1000 m in the riparian buffers. The results showed that the land use structure had a great impact on water quality parameters. The urban land had negative effect and the increase of urban impervious surface exacerbated the deterioration of water quality. The arable land showed positive effect on water quality. This was partly because the arable land had a certain absorption and retention, preventing pollutants to the river. On the other hand, the negative impact of arable land was covered up by urban land for the relatively low area proportion. The forest and water had a positive effect on water quality. The forest was more relevant to water quality in small riparian zone scale. With the increase of riparian zone scale, the correlations of the arable land and urban land to COD Mn were first increased and then decreased. The correlation between the water in the riparian buffers and the water quality in the net river was strong, which increased constantly with the scale of riparian zone. The research could provide critical information in landscape planning and environmental protection.

关键词： Monitoring Sun Economics Correlation Satellites Earth remote sensing

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A total suspended sediment retrieval model for multiple estuaries and coasts by Landsat imageries 4

A total suspended sediment retrieval model for multiple estu...

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4th International Workshop on Earth Observation and remote sensing Applications, EORSA 2016

作者： Chongyang, Wang Dan, Li Danni, Wang Chen, Shuisen Wei, Liu Guangdong Open Laboratory of Geospatial Information Technology and Application Guangdong Key Lab. of Remote Sensing and Geographical Information System Technology Application Guangzhou Institute of Geography Chinese Academy of Sciences University of Chinese Academy of Sciences Guangzhou Beijing510070/5lO640 China Department of Resources and the Urban Planning Xin Hua College of Sun Yat-Sen University Guangzhou510520 China

ISBN: (纸本)9781509014798

Based on 119 in-situ data from five estuaries and coasts of South China including Xunwen coast, estuary of Moyangjiang River, estuary and coast of Pearl River, estuary of Hanjiang River and estuary of Yangtze River, this paper aims to develop and establish a TSS retrieval model that applicable in different field conditions. After recalibrating and validating the form with the highest correlation coefficient between reflectance and TSS concentration and other TSS retrieval models that have been successful applied in many places, we found that the quadratic model of the ratio of logarithmic transformation of red band and near infrared band and logarithmic transformation of TSS concentration (QRLTSS) shows the highest performance. QRLTSS model based on Landsat OLI, ETM+ and TM can explained about 71% of the TSS concentration variation (4.3∼577.2 mg/L) in the five regions and has a high and acceptable validation accuracy with root mean square error (RMSE) of 21.5-25mg/L and mean relative error (MRE) of 27.2-32.2%. We concluded that QRLTSS model can be used to quantify the TSS concentration of multiple estuaries and coasts of south China which would be helpful to understand the temporal and spatial variation of TSS in a large region. QRLTSS model should be applied to Landsat imagery for further validation in the future. The approach proposed in the paper also could promote the research work of establishing regional and uniform TSS retrieval model forward. © 2016 IEEE.

关键词： Estuaries

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Global climate

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Bulletin of the American Meteorological Society 2020年第8期101卷 S9-S128页

作者： Dunn, R.J.H. Stanitski, D.M. Gobron, N. Willett, K.M. Met Office Hadley Centre Exeter United Kingdom NOAA/OAR Earth System Research Laboratories Boulder Colorado European Commission Joint Research Centre Ispra Italy Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Met Office Hadley Centre Exeter United Kingdom University of Reading Reading United Kingdom Department of Atmospheric and Planetary Science Hampton University Hampton Virginia NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina University of Bremen Bremen Germany NOAA/OAR Earth System Research Laboratories Boulder Colorado Centro de Investigaciones sobre Desertificación - Spanish National Research Council Moncada (Valencia) Spain and Regional Climate Group Department of Earth Sciences University of Gothenburg Gothenburg Sweden Instituto de Geografía Pontificia Universidad Católica de Valparaíso Valparaíso Chile NOAA/OAR ESRL Global Monitoring Laboratory Boulder Colorado Department of Civil and Environmental Engineering Princeton University Princeton New Jersey Global Precipitation Climatology Centre Deutscher Wetterdienst Offenbach Germany University of Reading Reading United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom National Oceanography Centre Southampton United Kingdom School of Engineering Newcastle University Newcastle-upon-Tyne United Kingdom Université de Paris Institut de physique du globe de Paris CNRS IGN Paris France and ENSG-Géomatique IGN Marne-la-Vallée France Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt Maryland Sorbonne Université Paris France Universität Hamburg Hamburg Germany Department of Meteorology University of Reading Reading United Kingdom Geology Department University Centre in Svalbard Longyearbyen Norway Jet Propulsion Laboratory California Institute of Technology Wrightwood Calif

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Study of the river-lake assessment system based on GIS in Pearl River basin

Study of the river-lake assessment system based on GIS in Pe...

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International Conference on Geoinformatics

作者： Kaiwen Zhong Kekui Ding Caige Sun Xulong Liu Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou China Key Lab of Guangdong for Utilization of Remote Sensing and Geographical information System Guangzhou Institute of Geogranhy Guangzhou China

ISBN: (纸本)9781467376648

According to the actual situation of Pearl River basin and the existing evaluation index systems of river-lake health, a new evaluation index system of river-lake health in Pearl River basin was built. The river-lake health assessment system was built using ArcGIS as a development platform. The data was obtained based on remote sensing and GIS. The rapidness and visualization of river-lake health assessment were realized by this system, which could support the protection services in Pearl River basin.

关键词： Indexes Rivers Lakes Hydrology Monitoring Biological system modeling Analytical models

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A case study of regional ecological risk assessment based on landscape structure 5th

A case study of regional ecological risk assessment based on...

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5th International Conference on Risk Analysis and Crisis Response, RACR 2015

作者： Liu, Xulong Dong, Jiahua Zhong, Kaiwen Zhang, Junxiang Guangzhou Institute of Geography Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangzhou China School of Geography and Planning Sun Yat-sen University Guangzhou China South China Institute of Environmental Sciences MEP Guangzhou China Guangzhou Institute of Geography Guangzhou China School of Tourism Huangshan University Huangshan China

ISBN: (纸本)9781138027459

Using the remote sensing images in 2000, 2006 and 2010, this paper extracted the information of landscape structure of Nansha district in Guangzhou city. The ecological risk index was built based on landscape index, and the ecological risk and dynamic variation were qualitatively assessed the process of rapid urbanization of study area. The results indicated that the landscape structure of the study area changed greatly from 2000 to 2010, especially, during 2000 to 2006, the built-land was expanded rapidly and the farmland was reduced significantly. The indexes of separation and fragmentation of landscape were increased. During 2006 to 2010, the rate of change becomes slower relatively. The regional ecological risk was increased in 2000–2010. The ecological risk level is lowest in 2000, and there is a significant increase in 2006. The ecological risk in 2006 and 2010 was equal nearly. We found that the water bodies and the farmland made great contributions to regional ecological risk. The sharp reduction of farmland is the main factor affecting the regional ecological risk. The results can provide a scientific basis for land use and ecological planning. © 2015 Taylor & Francis Group, London.

关键词： Land use

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HJ satellite based mapping technologies of land use products for emergency response of agricultural disasters 23

HJ satellite based mapping technologies of land use products...

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23rd International Conference on Geoinformatics, Geoinformatics 2015

作者： Wang, Chongyang Li, Dan Zhou, Xia Huang, Siyu Liu, Wei Weiqi, Chen Shuisen, Chen Guangdong Open Laboratory of Geospatial Information Technology and Application Guangdong Key Lab. of Remote Sensing and Geographical Information System Technology Application Guangzhou Institute of Geography Guangzhou510070 China Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China University of Chinese Academy of Sciences Beijing100049 China Department of Geography and Anthropology Louisiana State University Baton RougeLA70803 United States

ISBN: (纸本)9781467376631

Accurate and reliable information on land use is a basis of agricultural disaster warning and emergency action. The natural disasters typhoon, cold disaster, drought, and so on, have great influences on agricultural production in Guangdong Province, China. Through literature analysis at home and abroad, it was pointed out that Chinese HJ satellites have become important sources of remote sensing images due to short imaging period and broad coverage (about 2 days and 700km). It also advances the free sharing of OLI data on the new generation of remote sensor of Landsat. Considering the severe orbit deviation and frequent phenology changes of agricultural land use, this paper described and laid emphasis on the necessity and perspective of developing multi-scale (1:500,000, 120,000, 150,000) agricultural land use products of Provincial-City-County within Guangdong through the usage of relatively fixed ground control point database and spectral library based advanced hierarchical classification technologies supported by HJ satellite data. Such a tendency of quick disaster emergency response for land use dynamic implies a technological focus on the usage of above-mentioned advanced HJ satellite technologies. Based on Landsat images, we also built the 11 united ground control points (40 points at most for whole Guangdong Province) and standardized the technology system of land use remote sensing mapping with the combination of spectral library-based hierarchy classification technology. Selected key technologies for enhancing land use production mapping efficiency and accuracy that involve Landsat OLI and HJ satellites are presented and discussed. The HJ satellite is an effective information source for land use dynamic mapping under emergency action such as disaster damage evaluation, which can provide a short imaging period with wide spatial coverage and enhance the ability of land use data acquirement from one to three or four times or so in one year. The building of rel

关键词： Agriculture

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The analysis of the recovery of forest fire based on NDVI and NPP

The analysis of the recovery of forest fire based on NDVI an...

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2013 International Conference on Sensor Network Security Technology and Privacy Communication system, SNS and PCS 2013

作者： Yu, Changshui Wang, Chunxia Zhang, Jiajia Dai, Xuefang Zhang, Lihua College of Water Sciences Beijing Normal University China China Inner Mongolia Institute of Environmental Sciences Hohhot China College of Science Inner Mongolia University of Technology Hohhot China Key Lab. of Remote Sensing and Geographical Information System in Inner Mongolia Autonomous Region Inner Mongolia Normal University Hohhot China

ISBN: (纸本)9781467364515

In this paper, we obtained the changing curves of the meteorological elements (temperature, the percentage of sunshine, monthly precipitation) and NDVI of post-fire in Heilongjiang in 1987. Then through the light use efficiency model, we calculated NPP of post-fire in the recovery period by the data of remote sensing satellite and meteorological elements. Finally, we had summarized that the recovery cycle of the vegetation was long after fire based on the analysis of NDVI and NPP. It needed a few years or decades to recover. Specifically, NDVI and NPP significantly increased in the first few years after fire, since then became stable and showed a slow rise tendency. © 2013 IEEE.

关键词： Deforestation

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PERFORMANCES OF TEMPERATURE AND EMISSIVITY SEPARATION METHODS FOR HYPERSPECTRAL THERMAL DATA AFFECTED BY THE CHANGES OF SPECTRAL PROPERTIES OF SENSOR

PERFORMANCES OF TEMPERATURE AND EMISSIVITY SEPARATION METHOD...

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IEEE International Geoscience and remote sensing Symposium

作者： Ning Wang Yonggang Qian Hua Wu Lingling Ma Zhao-Liang Li Lingli Tang Key Laboratory of Quantitative Remote Sensing Information Technology Academy of Opto-Electronics Chinese Academy of Sciences State Key Lab of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences

ISBN: (纸本)9781479911127

In this paper, great efforts are focused on the temperature and emissivity separation (TES) from hyperspectral thermal infrared data. However, instead of proposing new method, the performances of several published TES methods, including iterative spectrally smooth temperature emissivity separation method (ISSTES), automatic retrieval of temperature and emissivity using spectral smoothness method (ARTEMISS), spectral smoothness method (SpSm), downwelling radiance residual index method (DRRI) and linear spectral emissivity constraint method (LSEC) are analyzed under different instrument characteristics, including the shifting of spectral and the broadening of the full-width half-maximum (FWHM), with the simulated data. The results shows that LSEC has the most robust and accurate performance. DRRI also has a good performance, but a channel selection procedure is required before the use of this method. ISSTES, ARTEMISS and SpSm are more sensitive to the instrument characteristics with some larger errors than other two methods.

关键词： Hyperspectral Thermal infrared Land surface temperature Emissivity Emissivity Thermal Infrared INSTRUMENT CHARACTERISTICS land surface temperature spectral characteristic Temperature Sensors

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