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Cited by 23 publications
(12 citation statements)
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References 46 publications
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“…For example, different remote sensing data have been used to extract grassland biomass information, such as IKONOS images with 1 m spatial resolution [11], Landsat, and SPOT data with 30 m and 20 m spatial resolution, respectively [12][13][14][15][16][17][18], the moderate resolution imaging spectroradiometer (MODIS) and the advanced very high resolution radiometer (AVHRR) data with 1 km spatial resolution [8,[19][20][21][22][23][24], or hyperspectral remote sensing data [25,26]. Regardless of the type of spatial resolution satellite data used for estimating grassland biomass, it is essential that relationships between field biomass measurements and corresponding spectral indices obtained by satellite be established.…”
Section: Introductionmentioning
confidence: 99%
“…For example, different remote sensing data have been used to extract grassland biomass information, such as IKONOS images with 1 m spatial resolution [11], Landsat, and SPOT data with 30 m and 20 m spatial resolution, respectively [12][13][14][15][16][17][18], the moderate resolution imaging spectroradiometer (MODIS) and the advanced very high resolution radiometer (AVHRR) data with 1 km spatial resolution [8,[19][20][21][22][23][24], or hyperspectral remote sensing data [25,26]. Regardless of the type of spatial resolution satellite data used for estimating grassland biomass, it is essential that relationships between field biomass measurements and corresponding spectral indices obtained by satellite be established.…”
Section: Introductionmentioning
confidence: 99%
“…Chu et al [45] documented that the relationship between the NDVI and precipitation was stronger than that between the NDVI and temperature in the Lhasa area of Tibet. In addition, Liu et al [46] studied the relationship between the NDVI and climate factors for different vegetation units in the Qinghai-Tibetan Plateau, and found positive relationships between the NDVI and precipitation/temperature for temperate steppe and desert unit. While for the broadleaf forest unit, both the relationships between the NDVI and precipitation/temperature were negative.…”
Section: Influences Of Meteorological Factors To the Change Of Ndvimentioning
confidence: 99%
“…The slope is calculated as follows: Systéme Pour l'Observation de la Terre Vegetation (SPOT VEGETATION) time-series 10-day composite images (http://www.vito-eodata.be/) derived from the vegetation instrument of the SPOT 4 and 5 satellites were used to calculate the temporal and spatial NDVI values. The resolution of the data is approximately 1 km [40,50]. Each composite consists of a digital number (DN) file ranging from 0 to 255 and a status map (SM) file.…”
Section: Trend Analysis For Vegetation Changementioning
confidence: 99%
“…Using this equation, the NDVI values were restricted to the range between −0.096 (DN = 1) and 0.92 (DN = 255). Then NDVI data were pre-processed with a Maximum Value Compositing (MVC) method to avoid the errors and uncertainty resulting from large solar zenith angles and cloud cover [50]. The MVC method for NDVI at monthly scale retains only the highest spectral value on a per-pixel basis for the series of NDVI data.…”
Section: Trend Analysis For Vegetation Changementioning
confidence: 99%
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