Land use/land cover classification and its change detection using multi-temporal MODIS NDVI data
نویسندگان
چکیده
منابع مشابه
Land-Cover Change Detection Using Multi-Temporal MODIS NDVI Data
Monitoring the locations and distributions of land-cover change is important for establishing links between policy decisions, regulatory actions and resulting land-use activities. Past activities including two-date change detection efforts using Landsat data have tended to be performance limited for applications in biologically complex systems. This study explored the use of 250 m multi-tempora...
متن کاملLand Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics
Remote Sensing (RS) data and techniques, in combination with GIS and landscape metrics, are fundamental to analyse and characterise Land Cover (LC) and its changes. The case study here described, has been conducted in the area of Avellino (Southern Italy). To characterise the dynamics of changes during a fifty year period (1954÷2004), a multitemporal set of images has been processed: aerial pho...
متن کاملAn evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data
☆ Notice: TheU.S. Environmental Protection Agency fun research described in this paper. Although this work was approved for publication, it may not necessarily reflect of any trade names or commercial products does no recommendation for use. This research was conducte Aeronautics and Space Administration (NASA) Ocean Program grant NNH15AZ42I. ⁎ Corresponding author. E-mail address: [email protected]...
متن کاملRegional Scale Land Use/land Cover Classification Using Temporal Series of Modis Data
This paper describes a methodology for systematic land use/land cover classification on a regional scale, with emphasis on a low cost and highly automatized approach. This methodology is based on multitemporal analyses of surface reflectance data from the Moderate Resolution Imaging Spectroradiometer (MODIS), which is located on board NASA’s Terra and Aqua satellites and features high temporal ...
متن کاملLand Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data
Temporal-related features are important for improving land cover classification accuracy using remote sensing data. This study investigated the efficacy of phenological features extracted from time series MODIS Normalized Difference Vegetation Index (NDVI) data in improving the land cover classification accuracy of Landsat data. The MODIS NDVI data were first fused with Landsat data via the Spa...
متن کاملذخیره 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: Journal of Geographical Sciences
سال: 2015
ISSN: 1009-637X,1861-9568
DOI: 10.1007/s11442-015-1247-y