Drought Effects on Vegetation Changes in Kashkan Basin of Lorestan Using ETM + and OLI Landsat Data
Authors
Abstract:
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 indicators. The purpose of this study was to investigate the effect of drought on vegetation in Kashkan basin of Lorestan using Landsat satellite images and rainfall data. Methodology: Rainfall data of Kashkan basin stations during the statistical period of 1999 to 2019 were collected from the Meteorological Organization. Landsat Satellite images for the years of 1999 and 2019 from ETM and OLI sensors (L Needs 7 and 8) were obtained from the USGS database. Finally, using the SPI index, dry and wet years were distinguished during the statistical period and were selected as representatives of dry and wet years in 1999 and 2019. Vegetation indices were calculated (NDVI, TCI, VCI and VHI) using the ENVI 5/3 software. Because the area is located at different satellite passes 165 and 166, the Seamless Mosaic operator in ENVI 5.3 software was used to mosaic the images. Data with L1T level corrections (including systematic radiometric correction, geometric correction using ground control points, and topographic displacement error correction) were obtained from the USGS database. A 1: 25000 topographic map of the study area was used to control the geometric correction of satellite images. Atmospheric corrections of the images were performed by applying flash algorithm in the software and the images were prepared to extract the research indicators. Results: Ready data was used to classify the map of NDVI, VCI, TCI and VHI indices in 1999 and 2019. Based on the obtained results, in 1999, the amount of poor vegetation was the highest with an area of 4869.7 square kilometers, equivalent to 52.49 percent of the area.The highest vegetation belonged to the good vegetation class with an area of 3311.44 square kilometers, equivalent to 69 Percentage of the area. The results of the VCI index show that the vegetation situation was good in 1999 and 4749.1 square kilometers of the area have experienced drought-free conditions. In addition, 4034.9, 111.3 and 83.5 square kilometers of the region had mild drought, severe drought and very severe drought, respectively. In 2019, according to the VCI index, 7531.8 square kilometers of the basin, i.e, 81.2% of the area, have vegetation-free conditions in terms of vegetation. According to the TCI results in 1999, limited parts of the western and southwestern parts of the basin with an area of 742.1 and 278.3 square kilometers had severe and very severe drought conditions, respectively. In 2019, in terms of heat, in 3005 square kilometers of the area in the northern, central and southeastern parts of the basin, no drought conditions were observed. According to the VHI results, in 1999, about 102 and 1159 square kilometers of the area had severe and moderate drought conditions, respectively, and no severe drought occurred in the area. In 2019, there was no severe drought. In general, the situation has been very good for vegetation Conclusion: The results showed that drought significantly reduced the density of vegetation in basin, and the existing vegetation was affected by drought stress. According to the VHI index, which indicates the health status of plant coverings affected by drought, two VCI and TCI index. In 1999, the eastern and western regions and the southwest had moderate to severe droughts, and most of regions had a mild drought. In 2019, due to the health of vegetation, in most areas, vegetation was under drought-free conditions and did not suffer from drought stress, but some parts also suffered from mild drought.
similar resources
Detection of Drought Effects Change on Isfahan City Green Vegetation Cover by Using Landsat TM and ETM+ Data
احمد مختاری1، ناهید کاوهزاده 2، فرزاد شنبه دستجردی3 1- عضو هیات علمی مرکز تحقیقات کشاورزی و منابع طبیعی اصفهان[email protected] 2 -کارشناس مرکز تحقیقات کشاورزی و منابع طبیعی اصفهان 3-کارشناس ارشد مرکز تحقیقات کشاورزی و منابع طبیعی اصفهان چکیده امروزه استفاده از سامانههای سنجش از دور جزء لاینفک مطالعات زیست محیطی و از اسناد معتبر در بررسیهای اقتصاد محیط زیست، توسعه سامانههای دقیقت...
full textAssessment 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...
full textComparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types
Landsat 8, the most recently launched satellite of the series, promises to maintain the continuity of Landsat 7. However, in addition to subtle differences in sensor characteristics and vegetation index (VI) generation algorithms, VIs respond differently to the seasonality of the various types of vegetation cover. The purpose of this study was to elucidate the effects of these variations on VIs...
full textInterpretation of Tropical Vegetation Using Landsat Etm+ Imagery
Monitoring of tropical forest is important as it plays a vital role in Global biodiversity and terrestrial carbon dynamics. Remote sensing can be effectively used to monitor the tropical vegetation. However, an operational tool for interpretation and monitoring of tropical forest has not yet well developed. Therefore, the current study aimed to generate an interpretation key and a spectral libr...
full textPhenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data
Accurate and up-to-date mapping and monitoring of rubber plantations is challenging. In this study, we presented a simple method for rapidly and accurately mapping rubber plantations in the Xishuangbanna region of southwest China using phenology-based vegetation index differencing. Temporal profiles of the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Atmospher...
full textLakeTime: Automated Seasonal Scene Selection for Global Lake Mapping Using Landsat ETM+ and OLI
The Landsat series of satellites provide a nearly continuous, high resolution data record of the Earth surface from the early 1970s through to the present. The public release of the entire Landsat archive, free of charge, along with modern computing capacity, has enabled Earth monitoring at the global scale with high spatial resolution. With the large data volume and seasonality varying across ...
full textMy Resources
Journal title
volume 16 issue 1
pages 124- 139
publication date 2022-03
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023