Analysing vegetation changes in the Sahel using sensor data from Landsat and NOAA
نویسندگان
چکیده
* Corresponding author. Abstract – The semi-arid Sahel zone of Africa has suffered several periods of severe drought since about 1950. We have analyzed AVHRR Normalized Difference Vegetation Index (NDVI) over the Sahel for the period 1982-2002, and found extensive areas of increasing NDVI. To verify these changes we have analyzed Landsat TM and ETM+ scenes from 1984-1986 and 1999-2001 for areas in the Sudan, Central African Republic, Niger, Mali and Mauritania. Changes in the Landsat data were analysed by visual interpretation and change vector analysis. In areas of positive AVHRR NDVI change the analysis of Landsat data generally showed a transition from barren or sparse vegetation to a denser vegetation cover. Rainfall had increased over the course of time in several of these areas. In some areas visual interpretation indicated an expansion of agricultural land.
منابع مشابه
Potential of Landsat-8 spectral indices to estimate forest biomass
Forest ecosystems are among the largest terrestrial carbon reservoirs on our planet earth thus playing a vital role in global carbon cycle. Presently, remote sensing techniques provide proper estimates of forest biomass and quantify carbon stocks. The present study has explored Landsat-8 sensor product and evaluated its application in biomass mapping and estimation. The specific objectives were...
متن کاملAssessment the effect of drought and land use change on vegetation using Landsat data
Drought is a disaster phenomenon especially in arid and semi-arid areas. Vegetation and its production play a main role in the social and economic issues in every country. In this study, Standardized Precipitation Index (SPI) and Normalized Difference Vegetation Index (NDVI) data have been used to monitor drought and the vegetation condition in Sonqor Abad in, Kermanshah province. Meteoro...
متن کاملDrought Effects on Vegetation Changes in Kashkan Basin of Lorestan Using ETM + and OLI Landsat Data
Background and objectives: Vegetation is one of the most important elements of an ecosystem, which is directly related to the moisture conditions of the land. Estimation of plant drought indices such as VCI, TCI, VHI is an effective tool to assess the effects of drought by calculating NDVI. In this regard, several studies have been conducted that explain how to calculate and use these indicator...
متن کاملComparison of Satellite Imagery and Ground-Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower
1 The original use of remote sensing using infrared photography for yield variation was conducted by Colwell (1956). Since the launch of the Landsat 1 imaging satellite in 1972 (Mulla, 2013), satellite imagery has been widely used in agriculture for yield prediction and most lately for site-specific N management. Bhatti et al. (1991) used Landsat imagery and auxiliary data to estimate wheat yie...
متن کاملInvestigating the applicability of conventional vegetation indices for vegetation change detection in different environmental conditions
Vegetation indices have been developed to characterize and extract the Earth's vegetation cover from space using satellite images. For detection of vegetation changes, usually temporal images are independently analyzed or vegetation index differencing is implemented. A review on previous studies reveal that, in spite of developing several vegetation indices, to extract vegetation cover or veget...
متن کامل