Vegetation variation trend and its influencing factors in Urad Grassland over remote sensing

نویسندگان

چکیده

In this work, the temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland has been explored by remote sensing technique. The change precipitation and temperature obvious effects on vegetation, which affects agriculture stability ecosystem. Pixel dichotomy approach correlation analysis are introduced analyse temporal spatial evolution trend its response climate past 10 years. Specifically, between critical impacting factors such as fully investigated. results show study area was influenced effectors including climate, topography, human activities government policies. average annual showed a downward general 2019. Statistical indicates that is positive most parts area, while shows negative with difference various geographic features. As result, major natural factor affected dynamics grassland.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Quantifying the trend of vegetation changes using remote sensing (Case study: Fars Province)

Investigating the sustainability of vegetation changes is one of the most important issues of vegetation management in the direction of sustainable development. It is necessary to conduct studies in this regard to select appropriate management for greater compatibility with new conditions. In this research, changes in the vegetation dynamics trend of Fars province were studied using the NDVI in...

متن کامل

Investigating the Influence of Drought on Trend of Vegetation Changes in Arid and Semiarid Regions, Using Remote Sensing Technique: A Case Study of Hormozgan province)

Introduction: As a hazardous complex climate condition, drought has affected many parts of the world, and in times when its duration is prolonged, its damage would be tremendous, affecting various sectors such as agriculture, environment, economic, social, etc. Due to the wide range of this phenomenonchr('39')s effects on all ecosystems, especially in arid and semiarid regions, continuous monit...

متن کامل

Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China

Grassland biomass is essential for maintaining grassland ecosystems. Moreover, biomass is an important characteristic of grassland. In this study, we combined field sampling with remote sensing data and calculated five vegetation indices (VIs). Using this combined information, we quantified a remote sensing estimation model and estimated biomass in a temperate grassland of northern China. We al...

متن کامل

Remote sensing technology for mapping and monitoring vegetation cover (Case study: Semirom-Isfahan, Iran)

To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...

متن کامل

LiDAR Remote Sensing of Vegetation Biomass

Accurate estimates of vegetation biomass are critical for calibrating and validating biogeochemical models (Hurtt et al. 2010), quantifying carbon fluxes from land use and land cover change (Shukla et al. 1990; Houghton et al. 2001), and supporting the United Nations Framework Convention on Climate Change (UNFCCC) program to reduce deforestation and forest degradation (Reducing Emissions from D...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: MATEC web of conferences

سال: 2021

ISSN: ['2261-236X', '2274-7214']

DOI: https://doi.org/10.1051/matecconf/202133606028