Remote sensing evaluation of ecosystem service value of gas regulation with time series Landsat images

2014 ◽  
Author(s):  
Xiaohe Gu ◽  
Wei Guo ◽  
Yancang Wang ◽  
Guijun Yang
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Ecosystem Service ◽  
Ecosystem Service Value ◽  
Landsat Images ◽  
Service Value

scholarly journals Analysis on the dynamic changes in a regional ecosystem and evaluation of its service values based on Remote Sensing

2015 ◽  
Vol XL-7/W4 ◽  
pp. 169-174
Author(s):  
S.-D. Wang ◽  
H.-B. Zhang ◽  
X.-C. Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Ecosystem Service ◽  
Quantitative Estimation ◽  
Assessment Model ◽  
Assessment Criteria ◽  
Ecosystem Service Value ◽  
Service Value ◽  
Quantitative Calculation ◽  
Ecological Service

The ecosystem service value is an important concept and an index that reflects the quality of the regional ecological environment status and the measurement of the total ecological benefits. In this study, based on the characteristics of land use and the types of ecosystem in the studied area, the ecological indicators including the net primary productivity of the vegetation and the vegetation cover were selected. Landsat TM remote sensing image, ground-based observation, meteorological data and statistical data etc. were applied to establish the remote sensing-based assessment criteria and assessment model for quantitative estimation of the ecosystem service value. The established assessment criteria and model were applied to conduct the quantitative calculation on the value of the single ecosystem service and the ecosystem service value per unit area. The results indicated that during the decade of 2000–2010, with the inter-conversion of different types of land use, the total value of the ecological service in the studied area displayed a gradually decreasing trend. Among which, the values of ecological service of the cultivation land, wetland and the total ecological service were reduced by 11.92, 11.75 and 5.74%, respectively. While the values of ecological services of forest land, waters and intertidal zone were increased to certain extend. However, these increased values did not change the continuously decreasing trend of the total value of ecosystem service in the studied area. Based on these assessments, the spatially- and temporally-changing patterns of the values of ecosystem service in the studied area were analysed to reveal their intrinsic relationship between the land use and the changes in values of ecosystem service.

scholarly journals A CALCULATION METHOD OF ECOSYSTEM SERVICE VALUE BASED ON PRODUCT OF NATIONAL GEOGRAPHIC CONDITIONS MONITORING IN CHINA

2021 ◽  
Vol V-3-2021 ◽  
pp. 43-50
Author(s):  
T. Cheng ◽  
X. Zheng ◽  
H. Chen ◽  
J. Liu ◽  
X. Gao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
High Resolution ◽  
Land Cover ◽  
Ecosystem Service ◽  
Assessment Model ◽  
Ecosystem Service Value ◽  
National Geographic ◽  
Service Value ◽  
Calculating Method

Abstract. By 2015, Chinese government had completed the project of China's First National Geographic Conditions Census. In this project, high resolution land cover product all over the country had been generated, and would be updated continuously every year. On the basis of this excellent data source, a big data calculating method of land’s ecosystem service value was proposed, in which many other remote sensing information were used too, such as EVI (Enhanced Vegetation Index), NPP (Net Primary Productivity), vegetation growing season data derived from MODIS product. It analyzed the characters of data type, data time phase, and data structure for all the remote sensing information, also the big data’s engendering background and process. A revised ecosystem service value assessment model was used for calculating. Combining the classification system of terrestrial ecosystem in China and the equivalent value factor per unit ecosystem area, the big data calculating algorithm was designed. Shiyan city, Hubei province, China was selected as the study area for validating the calculating method. The results showed that the total ecosystem service value in Shiyan city in 2015 was 1.97 × 1011 CNY, and the per capita ecosystem service value was 5.69 × 104 CNY. Specially, forest supplied the most ecosystem service value which accounted for 78.54 %, followed by water, grassland, farmland, and desert. The research shows that on the basis of multi-source of remote sensing information mainly the high resolution land cover product obtained in the project of China's First National Geographic Conditions Census, high-precision quantification and spatialization ecosystem service value can be calculated and obtained; multi scale spatial display of the calculating results could be achieved to meet different spatial scaling demands; the big data calculating algorithm has solved the problems of design and computation of structured and unstructured big data computing models; the independent research and development software has solved the problem of software requirements, and the operational efficiency and performance can meet the calculating needs.

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