نتایج جستجو برای: soil adjusted vegetation index savi
تعداد نتایج: 692864 فیلتر نتایج به سال:
The aim of this research is to investigate drought stress in rangeland rangelands in Ardabil province. According to the monthly rainfall data, 4 synoptic stations of Ardebil province (Ardebil, Khalkhal, Meshgin Shahr and Parsabad Moghan) during the statistical period of 2016-1996 were used to calculate drought index (SEPI) index for 4 periods of 1, 3, 6 and 9 months. Landsat TM and OLI satellit...
various indexes such as rvi, ndvi, savi and osavi have been proposed for vegetation detection using satellite images. these indexes have been obtained based on high reflectance of the vegetation in near infrared band and its high absorption in red band. basic defect of these indexes are using them in various regions without any changes in index structure. in other words, these indexes have not ...
Every year, land use in Indonesia has increased, both for settlements, agriculture, and other uses that are used to meet the needs of human life certain purposes. Cijengkol Village is one agricultural development villages Subang Regency affected by topography, resulting different types use. This mapping aimed provide information related classification plantations, fields, others Village. Land w...
Juniperus excelsa subsp. Polycarpos, which Iranians known as the Persian juniper located in the northeast of Iran.ALOS satellite using multispectral band (AVNIR-2) with 10-meter resolution and Panchromatic band (PRISM) with 2.5-meter resolution has been used.Two kinds of method (pixel and object) for tree extraction have been calculated. Object orientedSupport Vector Machine (SVM) algorithm has...
[1] The evaluation of the relationship between satellitederived vegetation indices (normalized difference vegetation index and normalized difference water index) and soil moisture improves our understanding of how these indices respond to soil moisture fluctuations. Soil moisture deficits are ultimately tied to drought stress on plants. The diverse terrain and climate of Oklahoma, the extensive...
This study investigates temporal relationships between vegetation growth, rainfall, and soil moisture for six sites located in sub-Saharan and southern Africa for the period 2005-2009. Specifically, seasonal components of time series of Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) composites from the Moderate Resolution Imaging Spectroradiometer (MODIS) and ...
Natural disasters in Indonesia have become an annual cycle, example is flooding. This study aims to determine the flood risk potential Mempawah watershed and places likely be flooded. The method used was a survey interpretation of secondary data from topographic maps, Sentinel-2A images, Digital Elevation Model images. Furthermore, analysis includes Standardized Precipitation Index (SPI), Norma...
The article presents the analysis of widespread spectral indexes results Earth remote sensing data thematic processing to reveal most representative one for applying under conditions critical increase groundwater level and salinity as well salinized soil. Long-term monitoring multispectral images LandSat-8 satellite were collected Golodnostepsky irrigation land. Sites with disturbing ameliorati...
In 2003 we addressed the issue of intercalibration of vegetation indices from different satellite-based optical sensor systems with differing spectral response functions in the visible and near-infrared bands (Steven et al., 2003). We used a database of spectroradiometric measurements made over a range of canopy densities, soils and foliage colours to simulate vegetation indices (NDVI, SAVI and...
Change detection (CD) is the process of detecting changes from multi-temporal satellite images that have undergone spatial due to natural phenomena and/or human-induced activities. Mango a major fruit crop in India, but mango crops remains challenging task because reason many perennial similar reflectance profiles. Therefore, potent change technique required for different applications such as r...
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