Results 21 to 30 of about 643,359 (305)
Development of Land Cover Classification Model Using AI Based FusionNet Network
Remote Sensing, 2020 Prompt updates of land cover maps are important, as spatial information of land cover is widely used in many areas. However, current manual digitizing methods are time consuming and labor intensive, hindering rapid updates of land cover maps.
Jinseok Park +4 more
doaj +1 more source
A two-layer Conditional Random Field model for simultaneous classification of land cover and land use [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due to the fact that land cover and ...
L. Albert, F. Rottensteiner, C. Heipke
doaj +1 more source
Remote Sensing, 2020 Hyperspectral (HS) data have found a wide range of applications in recent years. Researchers observed that more spectral information helps land cover classification performance in many cases.
Chiman Kwan +5 more
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Changes in land cover, rainfall and stream flow in Upper Gilgel Abbay catchment, Blue Nile basin – Ethiopia [PDF]
, 2011 In this study we evaluated changes in land cover and rainfall in the Upper Gilgel Abbay catchment in the Upper Blue Nile basin and how changes affected stream flow in terms of annual flow, high flows and low flows.
Habib, E. +5 more
core +3 more sources
Land use/land cover classification for Göktürk-2 satellite
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 In this study, land-use/land-cover method for Gokturk-2 satellite was developed. Moreover, the developed method can be adapted to any satellite. The aim is to classify pixels in images captured by Gokturk-2 into four basic categories (soil, green areas, water bodies, and others), and to form a persistent mathematical model for this purpose.
Gurcan, Ilker +2 more
openaire +2 more sources
PLoS ONE, 2012 Land cover data represent a fundamental data source for various types of scientific research. The classification of land cover based on satellite data is a challenging task, and an efficient classification method is needed.
Dong Jiang +5 more
doaj +1 more source
A Possibility-Based Method for Urban Land Cover Classification Using Airborne Lidar Data
Remote Sensing, 2022 Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurement tool in forest volume estimation, urban scene reconstruction and land cover classification, where LiDAR data provide crucial and efficient features ...
Danjing Zhao +3 more
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A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]
, 2019 The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
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Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning
Remote Sensing, 2019 Land cover classification data have a very important practical application value, and long time series land cover classification datasets are of great significance studying environmental changes, urban changes, land resource surveys, hydrology and ...
Haoyu Wang +4 more
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Remote Sensing, 2021 The Qilian Mountains (QLM) are an important ecological barrier in western China. High-precision land cover data products are the basic data for accurately detecting and evaluating the ecological service functions of the QLM.
Yanpeng Yang +4 more
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