Investigation of vegetation dynamics with a focus on agricultural land cover and its relation with meteorological parameters based on the remote sensing techniques:
a case study of the Gavkhoni watershed
I. Rousta, Safoora Izadian, H. Ólafsson, A. Siedliska, J. Krzyszczak
{"title":"Investigation of vegetation dynamics with a focus on agricultural land cover and its relation with meteorological parameters based on the remote sensing techniques:\na case study of the Gavkhoni watershed","authors":"I. Rousta, Safoora Izadian, H. Ólafsson, A. Siedliska, J. Krzyszczak","doi":"10.31545/intagr/185986","DOIUrl":null,"url":null,"abstract":". Background and Aims: This research investigates vegetation dynamics in the Gavkhouni catchment from 2001 to 2021, focusing on the spring season. The aim is to analyse the relationship between aridity, vegetation, and rainfall. Moreover, additional emphasis was placed on exploring the impact of these dynamics on agricultural land cover thereby contributing to our understanding of the environmental dynamics in the Gavkhouni catchment. Methods: The study made use of MODIS data, includ - ing the Enhanced Vegetation Index and Vegetation Condition Index, along with monthly rainfall statistics from Chirps. Analytical methods include time series analyses using correlation and regression analysis. Results: Throughout the study period, the average spring vegetation cover was 9276.33 km². The years 2001 and 2018 had the lowest degree of vegetation (15.53, and 17.3% of the watershed area). Conversely, 2013, 2019, and 2020 had the most coverage (27.4, 26.8, and 26.3%). The Enhanced Vegetation Index highlighted the arid years (2001, 2008, 2011, and 2018) and the years with the lowest drought prevalence (2006, 2007, 2010, 2013). Enhanced Vegetation Index correlated with spring rainfall. Cropland cover declined over the study period, and a close correlation was found between winter rainfall and spring agricultural coverage.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Agrophysics","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.31545/intagr/185986","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
. Background and Aims: This research investigates vegetation dynamics in the Gavkhouni catchment from 2001 to 2021, focusing on the spring season. The aim is to analyse the relationship between aridity, vegetation, and rainfall. Moreover, additional emphasis was placed on exploring the impact of these dynamics on agricultural land cover thereby contributing to our understanding of the environmental dynamics in the Gavkhouni catchment. Methods: The study made use of MODIS data, includ - ing the Enhanced Vegetation Index and Vegetation Condition Index, along with monthly rainfall statistics from Chirps. Analytical methods include time series analyses using correlation and regression analysis. Results: Throughout the study period, the average spring vegetation cover was 9276.33 km². The years 2001 and 2018 had the lowest degree of vegetation (15.53, and 17.3% of the watershed area). Conversely, 2013, 2019, and 2020 had the most coverage (27.4, 26.8, and 26.3%). The Enhanced Vegetation Index highlighted the arid years (2001, 2008, 2011, and 2018) and the years with the lowest drought prevalence (2006, 2007, 2010, 2013). Enhanced Vegetation Index correlated with spring rainfall. Cropland cover declined over the study period, and a close correlation was found between winter rainfall and spring agricultural coverage.
期刊介绍:
The journal is focused on the soil-plant-atmosphere system. The journal publishes original research and review papers on any subject regarding soil, plant and atmosphere and the interface in between. Manuscripts on postharvest processing and quality of crops are also welcomed.
Particularly the journal is focused on the following areas:
implications of agricultural land use, soil management and climate change on production of biomass and renewable energy, soil structure, cycling of carbon, water, heat and nutrients, biota, greenhouse gases and environment,
soil-plant-atmosphere continuum and ways of its regulation to increase efficiency of water, energy and chemicals in agriculture,
postharvest management and processing of agricultural and horticultural products in relation to food quality and safety,
mathematical modeling of physical processes affecting environment quality, plant production and postharvest processing,
advances in sensors and communication devices to measure and collect information about physical conditions in agricultural and natural environments.
Papers accepted in the International Agrophysics should reveal substantial novelty and include thoughtful physical, biological and chemical interpretation and accurate description of the methods used.
All manuscripts are initially checked on topic suitability and linguistic quality.