A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing’s mountainous areas during the last 20 years

Xia, Jing; Yao, Wanqiang; Wang, Jihua; Song, Xiaoyu

doi:10.1016/j.mcm.2010.11.038

Cited by 63 publications

(40 citation statements)

References 3 publications

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“…Then, they are mosaicked and clipped by the outline of the BTH region to form the full image of the study area. The estimation of FVC is based on the Dimidiate Pixel Model by using the long term series images [26,27] Table 1.…”

Section: Vegetation Coverage Monitoringmentioning

confidence: 99%

Implementation of Geographical Conditions Monitoring in Beijing-Tianjin-Hebei, China

Zhang

Ji-ping

Zhai

et al. 2016

IJGI

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Increasingly accelerated urbanization and socio-economic development can cause a series of environmental problems. Accurate and efficient monitoring of the geographical conditions is important for achieving sustainable development. This paper presents the first results of the project "Geographical Conditions Monitoring (GCM)" in an exemplified area "Beijing-Tianjin-Hebei (BTH)" in China over the last three decades. It focuses on four hot issues in BTH: distribution of dust surfaces and pollution industries, vegetation coverage, urban sprawl, and ground subsidence. The aim of this project is the detection of geographical condition changes and for the description of this development by indicators, as well as the analysis and evaluation of the effects of such processes on selected environmental perspectives. The results have shown that the contributions of the applied GCM in making the plan of urban design and nature conservation. Valuable experience gained from this project would be useful for further developing and applying GCM at the national level.

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Section: Vegetation Coverage Monitoringmentioning

confidence: 99%

Implementation of Geographical Conditions Monitoring in Beijing-Tianjin-Hebei, China

Zhang

Ji-ping

Zhai

et al. 2016

IJGI

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“…Otherwise, a threshold for the differences in the CCD NDVI between late-March and early May was used to separate cropped and uncropped arable land fields. The maximum difference in NDVI over the training samples was not taken as the CCD NDVI difference threshold, because of the noise in NDVI images [36,37]. In this paper, we found that when the threshold was set as 98% cumulative frequency of NDVI differences, the highest identification accuracy of cropped and uncropped arable fields can be achieved.…”

Section: Uncropped Arable Land Ratio (Ualr) Derivationmentioning

confidence: 99%

“…In this paper, we found that when the threshold was set as 98% cumulative frequency of NDVI differences, the highest identification accuracy of cropped and uncropped arable fields can be achieved. A similar method was used to extract maximum or minimum NDVI for each biome [37][38][39][40]. The corresponding decision tree used to identify cropped and uncropped arable land fields is shown in Figure 3.…”

Section: Uncropped Arable Land Ratio (Ualr) Derivationmentioning

confidence: 99%

Crop Condition Assessment with Adjusted NDVI Using the Uncropped Arable Land Ratio

Zhang

et al. 2014

Remote Sensing

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Abstract:Crop condition assessment in the early growing stage is essential for crop monitoring and crop yield prediction. A normalized difference vegetation index (NDVI)-based method is employed to evaluate crop condition by inter-annual comparisons of both spatial variability (using NDVI images) and seasonal dynamics (based on crop condition profiles). Since this type of method will generate false information if there are changes in crop rotation, cropping area or crop phenology, information on cropped/uncropped arable land is integrated to improve the accuracy of crop condition monitoring. The study proposes a new method to retrieve adjusted NDVI for cropped arable land during the growing season of winter crops by integrating 16-day composite Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data at 250-m resolution with a cropped and uncropped arable land map derived from the multi-temporal China Environmental Satellite (Huan Jing Satellite) charge-coupled device (HJ-1 CCD) images at 30-m resolution. Using the land map's data on cropped and uncropped arable land, a pixel-based uncropped arable land ratio (UALR) at 250-m resolution was generated. Next, the UALR-adjusted NDVI was produced by assuming that the MODIS reflectance value for each pixel is a linear mixed signal composed of the proportional reflectance of cropped and uncropped arable land. When UALR-adjusted NDVI data are used for crop condition assessment, results are expected to be more accurate, because: (i) pixels with only uncropped arable land are not included in the assessment; and (ii) the adjusted NDVI corrects for interannual variation in cropping area. On the provincial level, crop growing OPEN ACCESSRemote Sens. 2014, 6 5775 profiles based on the two kinds of NDVI data illustrate the difference between the regular and the adjusted NDVI, with the difference depending on the total area of uncropped arable land in the region. The results suggested that the proposed method can be used to improve the assessment of early crop condition, but additional evaluation in other major crop producing regions is needed to better assess the method's application in other regions and agricultural systems.

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“…It has been demonstrated that the dimidiate pixel model is an efficient algorithm for vegetation fraction cover estimation [54][55][56][57][58][59]. Several approaches have been proposed for retrieving the NDVI veg and NDVI soil values from image.…”

Section: Estimation Of Vegetation Fraction Covermentioning

confidence: 99%

Dynamic Assessment of Soil Erosion Risk Using Landsat TM and HJ Satellite Data in Danjiangkou Reservoir Area, China

Wang

Huang

et al. 2013

Remote Sensing

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Danjiangkou reservoir area is the main water source and the submerged area of the Middle Route South-to-North Water Transfer Project of China. Soil erosion is a factor that significantly influences the quality and transfer of water from the Danjiangkou reservoir. The objective of this study is to assess the water erosion (rill and sheet erosion) risk and dynamic change trend of spatial distribution in erosion status and intensity between 2004 and 2010 in the Danjiangkou reservoir area using a multicriteria evaluation method.The multicriteria evaluation method synthesizes the vegetation fraction cover, slope gradient, and land use. Based on the rules and erosion risk assessment results of the study area in 2004 and 2010, the research obtained the conservation priority map. This study result shows an improvement in erosion status of the study area, the eroded area decreased from 32.1% in 2004 to 25.43% in 2010. The unchanged regions dominated the study area and that the total area of improvement grade erosion was larger than that of deterioration grade erosion. The severe, more severe, and extremely severe areas decreased by 4.71%, 2.28%, and 0.61% of the total study area, respectively. The percentages of regions where erosion grade transformed from extremely severe to slight, light and moderate were 0.18%, 0.02%, and 0.30%, respectively. However, a deteriorated region with a 2,897.60 km 2 area was still observed. This area cannot be ignored in the determination of a general governance scheme. The top two conservation priority levels cover almost all regions with severe erosion and prominent increase in erosion risk, OPEN ACCESSRemote Sens. 2013, 5 3827 accounting for 7.31% of the study area. The study results can assist government agencies in decision making for determining erosion control areas, starting regulation projects, and making soil conservation measures.

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A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing’s mountainous areas during the last 20 years

Cited by 63 publications

References 3 publications

Implementation of Geographical Conditions Monitoring in Beijing-Tianjin-Hebei, China

Implementation of Geographical Conditions Monitoring in Beijing-Tianjin-Hebei, China

Crop Condition Assessment with Adjusted NDVI Using the Uncropped Arable Land Ratio

Dynamic Assessment of Soil Erosion Risk Using Landsat TM and HJ Satellite Data in Danjiangkou Reservoir Area, China

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