المؤلفون: Chen Zhen, Meng Wang, Xuehui Hou, Liu Tao, Huimin Yao, Liang Shouzhen, Xueyan Sui

المصدر: Computer and Computing Technologies in Agriculture XI ISBN: 9783030061364
CCTA (1)

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, 02 engineering and technology, Vegetation, 01 natural sciences, Normalized Difference Vegetation Index, Remote sensing (archaeology), Soil water, medicine, Environmental science, Dryness, Monitoring methods, medicine.symptom, Water content, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, Characteristic space

الوصف: Drought has an important impact to agriculture, and its monitoring is very necessary for many regions subjected to drought in Shandong province. Gaomi city of Shandong was chosen as a study area to probe remote sensing monitoring method of drought. Landsat8 satellite data and soil volumetric moisture content data from filed investigation were used. Temperature- vegetation method was adopted to monitor drought in the study area. The results showed that land surface temperature was negatively related to NDVI. Temperature vegetation dryness index (TVDI) had a significant correlation with soil water content. TVDI can reflect the drought in the study. It suggests that TVDI can be used as a effective index to monitor drought in the study area.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::1139810582f116e40a0cb913ccc58f53Test
https://doi.org/10.1007/978-3-030-06137-1_12Test

المؤلفون: Xueyan Sui, Xuehui Hou, Meng Wang, Huimin Yao, Shouzhen Ling, Liu Tao

المصدر: Computer and Computing Technologies in Agriculture XI ISBN: 9783030061784
CCTA (2)

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Remote sensing (archaeology), Agriculture, business.industry, 0208 environmental biotechnology, Environmental science, 02 engineering and technology, Natural disaster, business, 01 natural sciences, 020801 environmental engineering, 0105 earth and related environmental sciences, Remote sensing

الوصف: Drought is one of the major natural disasters which causes very severe impacts on economy and society, remote sensing is the efficient method which can dynamic monitor drought at a great range of scale, the research on agricultural drought monitoring has been an important issue. This paper introduces the principle of agricultural drought monitoring based on remote sensing technology, and reviews the current remote sensing approaches in drought monitoring. Combined with the current research hotspots, this paper offers the further research ideas by discussing the dominances and limitations of these methods.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c55bd64eab90bf0358c0fc6f370fad3dTest
https://doi.org/10.1007/978-3-030-06179-1_2Test

المؤلفون: Junxiao Wang, Zhenyi Jia, Xiaorui Wang, Shaohua Wu, Yan Li, Baojie Li, Liping Mei, Liang Ge, Shenglu Zhou, Xueyan Sui

المصدر: International Journal of Environmental Research and Public Health, Vol 15, Iss 12, p 2628 (2018)
International Journal of Environmental Research and Public Health
Volume 15
Issue 12

مصطلحات موضوعية: China, Conservation of Natural Resources, Geologic Sediments, 010504 meteorology & atmospheric sciences, neural network, Health, Toxicology and Mutagenesis, lcsh:Medicine, Environmental pollution, 010501 environmental sciences, 01 natural sciences, Article, Back propagation neural network, PAHs, Environmental protection, Benzo(a)pyrene, Industrial Development, heavy metals, environmental protection, 0105 earth and related environmental sciences, Pollutant, industrialization, lcsh:R, Public Health, Environmental and Occupational Health, Heavy metals, Bayes Theorem, Lakes, Industrialisation, Environmental science, Neural Networks, Computer, Environmental Pollution, Water Pollutants, Chemical, Cadmium, Environmental Monitoring

الوصف: In order to quantitatively study the effect of environmental protection in China since the twenty-first century and the environmental pollution projected for the next ten years (under the model of extensive economic development), this paper establishes a Bayesian regulation back propagation neural network (BRBPNN) to analyze the typical pollutants (i.e., cadmium (Cd) and benzopyrene (BaP)) for Taihu Lake, a typical Chinese freshwater lake. For the periods 1950&ndash
2003 and 1950&ndash
2015, the neural network model estimated the BaP concentration for the database with Nash-Sutcliffe model efficiency (NS) = 0.99 and 0.99 and root-mean-square error (RMSE) = 3.1 and 9.3 for the total database and the Cd concentration for the database with NS = 0.93 and 0.98 and RMSE = 45.4 and 65.7 for the total database, respectively. In the model of extensive economic development, the concentration of pollutants in the sediments of Taihu reached the maximum value at the end of the twentieth century and early twenty-first century, and there was an inflection point. After the early twenty-first century, the concentration of pollutants was controlled under various environmental policies and measures. In 2015, the environmental protection ratio of Cd and BaP reached 52% and 89%, respectively. Without environmental protection measures, the concentrations of Cd and BaP obtained from the neural network model is projected to reach 2015.5 &mu
g kg&minus
1 and 407.8 ng g&minus
1, respectively, in 2030. Based on the results of this study, the Chinese government will need to invest more money and energy to clean up the environment.

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ff33259439b87bd761856c9ec1388adTest
https://www.mdpi.com/1660-4601/15/12/2628Test

المؤلفون: Xuhong Yang, Xiaobin Jin, Weiyi Xu, Yinkang Zhou, Xueyan Sui, Rui Sun, Zhengming Gu, Jing Liu, Cuilan Xu, Bo Han

المصدر: Land Use Policy. 88:104185

مصطلحات موضوعية: Sustainable development, Resource (biology), business.industry, Geography, Planning and Development, Environmental resource management, 0211 other engineering and technologies, Land consolidation, 021107 urban & regional planning, Forestry, Context (language use), 02 engineering and technology, 010501 environmental sciences, Management, Monitoring, Policy and Law, 01 natural sciences, Geography, Urban planning, Agricultural productivity, Zoning, Rural settlement, business, 0105 earth and related environmental sciences, Nature and Landscape Conservation

الوصف: Cultivated land fragmentation (CLF) is one of the main obstacles hindering the development of agricultural modernization and mechanization. Systematically exploring the general distribution characteristics, influential factors and classification of CLF are of great significance for improving regional agricultural production capacity, promoting resource conservation and intensive use, and ensuring national food security, especially at the regional scale. In this study, we established a new conceptual index system using multivariable linear regression, geographical detectors, and magic cube model for CLF assessment as well as an analysis of the spatial differentiation characteristics, driving mechanism and management zoning trade-off of CLF in Jiangsu Province in eastern China based on multi-source data characterizing geographic, land-use and socio-economic information. The results showed that the connotation of CLF has spatial-scale characteristics due to the differences in functions positioning of cultivated land resources in macro-social security and micro-livelihood maintenance. At the national/regional scale, CLF mainly covers the natural (resource), spatial and utilization attributes of cultivated land. Based on this, the CLFI in Jiangsu presents a spatial pattern that gradually increases from north to south, with significant spatial differences. Besides, the CLFI within built-up areas is significantly higher than that outside built-up areas, and its fractal dimensions both within and outside the urban planning built-up areas show the spatial pattern of "spatial distribution > resource endowment > convenience of utilization". Furthermore, average plot size, the proportion of industry and service industry, gross domestic product, slope, grain output, and plot distance from town are the dominant factors driving the spatial differentiation of CLF, with the influence power (q) is 0.472, 0.204, 0.133, 0.129, 0.097 and 0.084, respectively. Location conditions and socio-economic activities have significant effects on the spatial differentiation of CLF within the built-up areas while highlighting the role of rural settlements outside urban built-up areas on CLF. Finally, we propose a two-level zoning system for diminishing the CLF and optimizing the utilization of cultivated land resources in Jiangsu based on influencing factors and fragmentation characteristics. The findings of this study will assist the government in developing appropriate regional context and land consolidation policies and coping strategies to CLF and food insecurity issues, and achieve sustainable development goals.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c19a0dd725117ec6ce48ecbfbd6335daTest
https://doi.org/10.1016/j.landusepol.2019.104185Test

المؤلفون: Xueyan Sui, Shaohua Wu, Baojie Li, Zhenyi Jia, Yan Li, Shenglu Zhou, Junxiao Wang, Teng Wang

المصدر: Journal of hazardous materials. 360

مصطلحات موضوعية: Delta, chemistry.chemical_classification, Environmental Engineering, 010504 meteorology & atmospheric sciences, Health, Toxicology and Mutagenesis, Polycyclic aromatic hydrocarbon, Energy consumption, 010501 environmental sciences, Atmospheric sciences, Spatial distribution, 01 natural sciences, Pollution, chemistry, Satellite data, Yangtze river, Environmental Chemistry, Environmental science, Emission inventory, Waste Management and Disposal, 0105 earth and related environmental sciences, Spatial allocation

الوصف: An improved gridded polycyclic aromatic hydrocarbon (PAH) emission inventory for the lower reaches of the Yangtze River Delta (YRD) region from 2001 to 2015 was developed using satellite data. Despite rapid increases in energy consumption, the annual total emissions of the 16 PAHs showed overall decreasing trends, from a maximum of 5445 t in 2001 to a minimum of 2619 t in 2015, with the largest decline (84.6%) observed in the residential sector. Different spatial allocation methods used in gridded PAH emission inventories have substantial influences on the distributions of PAHs; therefore, we improved the accuracy of the spatial allocation of industrial and open biomass burning PAH emissions using various satellite data. The gridded secondary and tertiary industrial GDP (GDP23) calculated using corrected nighttime light data was the best spatial proxy for the spatial allocation of industrial PAH emissions in the YRD region. We generated a gridded burned area for 2001–2015 by coupling the MCD64A1 and MCD14ML fire products, which was used to allocate PAH emissions from open biomass burning. Finally, we found that changes in the spatial distribution of PAH emissions were mainly driven by energy consumption and degree of technological advancement in different regions during 2001–2015.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d47c950226bd81e06c7a47e5eea685beTest
https://pubmed.ncbi.nlm.nih.gov/30125749Test

المؤلفون: Xueyan Sui, Xuehui Hou, Meng Wang, Liang Shouzhen

المصدر: CISP-BMEI

مصطلحات موضوعية: Canopy, Tree canopy, 010504 meteorology & atmospheric sciences, Correlation coefficient, 0208 environmental biotechnology, 02 engineering and technology, Vegetation, Atmospheric sciences, 01 natural sciences, Normalized Difference Vegetation Index, 020801 environmental engineering, Deciduous, Photosynthetically active radiation, Environmental science, Ecosystem, 0105 earth and related environmental sciences

الوصف: The fraction of absorbed photosynthetically active radiation (FPAR) is directly related to the primary productivity of photosynthesis, and is widely used to estimate ecosystem primary production. The forest canopy can be divided into photosynthetically active vegetation and non-photosynthetic vegetation according to their photosynthetical function. In this study, the scattering by arbitrary inclined leaves (SAIL) model was used to partition the PAR absorbed by canopy components into two parts: PAR absorbed by PAV and PAR by NPV. The characteristics of green FPAR (the fraction of PAR absorbed by PAV) and the relationships between green FPAR and spectral vegetation indices (NDVI, EVI, EVI2, SAVI) were analyzed. The results showed that the green FPAR varied with the canopy structure. In broadleaf deciduous forests with high coverage, the green FPAR was close to the total FPAR, and the contribution of NPV to the total FPAR was very low. Plant area index had more important impacts on the green FPAR than the proportion of PAV in the canopy and optical properties of PAV. The green FPAR had significant relationships with four spectral vegetation indices, but the correlation coefficient between green FPAR and EVI was the largest. Therefore, compared with other three vegetation indices, EVI may be more suitable to estimate forest green FPAR.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ed8f051f7785b83cad536fa62111d86eTest
https://doi.org/10.1109/cisp-bmei.2017.8302028Test

المؤلفون: Chen Lin, Zhipeng Wu, Shenglu Zhou, Xueyan Sui

المصدر: Environmental Monitoring and Assessment. 189

مصطلحات موضوعية: Watershed, Soil science, Land cover, Forests, 010501 environmental sciences, Management, Monitoring, Policy and Law, 01 natural sciences, Fungal Proteins, Soil, Ecosystem, Soil Microbiology, Glycoproteins, 0105 earth and related environmental sciences, General Environmental Science, Pollutant, biology, Aquatic ecosystem, 04 agricultural and veterinary sciences, General Medicine, Pollution, Glomalin, Watershed management, Ecological indicator, 040103 agronomy & agriculture, biology.protein, 0401 agriculture, forestry, and fisheries, Environmental science, Surface runoff, Environmental Monitoring

الوصف: Glomalin, which sequesters substantial amounts of carbon, plays a critical role in sustaining terrestrial biome functions and contributes to the fate of many pollutants from terrestrial to aquatic ecosystems. Despite having focused on the amount of glomalin produced, very few attempts have been made to understand how landscapes and environmental conditions influence glomalin composition and characteristics. This study focused on glomalin-related soil protein (GRSP) exported as storm runoff including eroded sediment and water that was collected before flowing to surface waters in a peri-urban watershed. GRSP characteristics were assessed by Bradford protein analysis, fluorescence spectroscopy combined with parallel factor analysis (PARAFAC), and the determination of aromaticity based on the specific ultraviolet absorption value (280 nm) and molecular weight. General linear models (GLMs) was established by integrating microbial activity, land cover, water temperature, precipitation, and other solution chemical properties to explain the variations in GRSP characteristics. Results showed that a higher GRSP concentration in agricultural reference sites was produced in the form of specific materials with low molecular weight and aromaticity, as well as high percentage of C1 and C5 components which indicate microbial-processed sources, relative to urbanized and forested sites. Compared with forested land, urbanized land clearly produced runoff GRSP with low molecular weight and aromaticity, as well as more degradation of humic-like materials (C3 component). The highest GLM explaining 89% of the variables, including significant variables (p

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8821bd6501e17179faf049de24da64dTest
https://doi.org/10.1007/s10661-017-6012-5Test

المؤلفون: Huimin Yao, Xuehui Hou, Liang Shouzhen, Meng Wang, Liu Tao, Xueyan Sui

المصدر: 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA).

مصطلحات موضوعية: 0106 biological sciences, Canopy, 010504 meteorology & atmospheric sciences, Primary production, Enhanced vegetation index, Evergreen, Atmospheric sciences, 01 natural sciences, Normalized Difference Vegetation Index, Photosynthetically active radiation, medicine, Environmental science, Vegetation Index, medicine.symptom, Vegetation (pathology), 010606 plant biology & botany, 0105 earth and related environmental sciences, Remote sensing

الوصف: The fraction of absorbed photosynthetically active radiation (FPAR) is an important biophysical variable, and is widely used in satellite-based production efficiency models to estimate GPP or net primary production. To the forest, the vegetation canopy is composed primarily of photosynthetically active vegetation (PAV) and non-photosynthetic vegetation (NPV). But only the PAR absorbed by PAV is used for photosynthesis. Current methods of measuring absorbed PAR in fields measure total PAR absorption. The Scattering by Arbitrary Inclined Leaves (SAIL) model was modified to simulate canopy reflectance and to separate the PAR absorbed by PAV and NPV of the evergreen coniferous forest in two scenarios. The total FPAR, green FPAR and FPAR determined by NPV were calculated and the relations between them and two vegetation index (NDVI and EVI) were analyzed. Our results showed the variation of canopy architecture influenced the canopy absorption of PAR. In high coverage forests, the green FPAR was close to the total FPAR of vegetation canopy and the contribution of NPV to the total FPAR was low. While, in low coverage forests or open forests, the situation was contrary. The significant relationships were found between two vegetation indices and FPAR, but compared with NDVI, EVI was more suitable to describe the variation of green FPAR.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::bc5e59c81a0f557d4310298f66d0a3cdTest
https://doi.org/10.1109/eorsa.2016.7552775Test

المؤلفون: Shaokun Li, Xiaoqing Sun, Bo Ming, Xueyan Sui, Xiaodong Zhang, Zhenlin Zhu

المساهمون: Shandong Academy of Agriculture Sciences, Institute of Crop Sciences of CAAS [Beijing] (ICS CAAS), Chinese Academy of Agricultural Sciences (CAAS), Daoliang Li, Yande Liu, Yingyi Chen, TC 12

المصدر: Computer and Computing Technologies in Agriculture IV ISBN: 9783642183355
CCTA (2)
Web of Science
IFIP Advances in Information and Communication Technology
4th Conference on Computer and Computing Technologies in Agriculture (CCTA)
4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.691-699, ⟨10.1007/978-3-642-18336-2_84⟩

مصطلحات موضوعية: 2. Zero hunger, Biomass (ecology), 010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, Sowing, Greenhouse, area, rice wheat, 02 engineering and technology, Shandong province, 01 natural sciences, Normalized Difference Vegetation Index, winter wheat, Crop, remote sensing, Agronomy, Yield (wine), Environmental science, [INFO]Computer Science [cs], Cropping system, Overwintering, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences

الوصف: International audience; Winter wheat is one kind of important crop in China. It’s planting area is one key element to explain yield change. To obtain winter wheat planting area as soon as possible can provide scientific reference for our country’s making related policy. Basing on the cropping system in Shandong province, winter wheat is divided into two kinds “winter wheat sowed by machine-maize” and “people broadcast winter wheat-rice”. Using MODIS data, NDVI characters of winter wheat, garlic, greenhouse vegetable, from sowing till overwintering stage were analyzed. Together with NDVI characters of former stubble crops in middle September, extracting requirements were set up for winter wheat planting area which was sowed by machine this year. In view of the spectrum similarity between rice wheat and greenhouse vegetable from sowing stage till overwintering stage, rice wheat planting area of former year was extracted relying on the character of biomass rapid growth at jointing stage. Because of the “people broadcast winter wheat-rice” cropping system is very fixed in Shandong province, then the rice wheat planting area of former year can take the place of the rice wheat planting area this year. Two kinds of winter wheat area were merged, and tested by 284 groups of located spots data, the accuracy reached 94.01%. The result showed that it is feasible to extract winter wheat area before overwintering stage, and the time is 4 months earlier than using jointing stage NDVI.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e78f4c2f9fc6233223dafb55439282fTest
https://doi.org/10.1007/978-3-642-18336-2_84Test