A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
Remote sensing for irrigation of horticultural crops
This paper reviews the literature on applications of remote sensing for monitoring soil-and
crop-water status for irrigation purposes. The review is organized into two main sections:(1) …
crop-water status for irrigation purposes. The review is organized into two main sections:(1) …
3D convolutional neural networks for crop classification with multi-temporal remote sensing images
This study describes a novel three-dimensional (3D) convolutional neural networks (CNN)
based method that automatically classifies crops from spatio-temporal remote sensing …
based method that automatically classifies crops from spatio-temporal remote sensing …
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future …
Classification of remotely sensed imagery for land-cover mapping purposes has attracted
significant attention from researchers and practitioners. Numerous studies conducted over …
significant attention from researchers and practitioners. Numerous studies conducted over …
Continuous change detection and classification of land cover using all available Landsat data
Z Zhu, CE Woodcock - Remote sensing of Environment, 2014 - Elsevier
A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …
using all available Landsat data is developed. It is capable of detecting many kinds of land …
Land use/land cover change (2000–2014) in the Rio de la Plata grasslands: an analysis based on MODIS NDVI time series
S Baeza, JM Paruelo - Remote sensing, 2020 - mdpi.com
Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of
the regions in the world with the highest rates of change in land use/land cover (LULC) in …
the regions in the world with the highest rates of change in land use/land cover (LULC) in …
Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data
Stretching over 4300 km north to south, Chile is a special country with complicated
landscapes and rich biodiversity. Accurate and timely updated land cover map of Chile in …
landscapes and rich biodiversity. Accurate and timely updated land cover map of Chile in …
Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine
Mapping Earth's surface and its rapid changes with remotely sensed data is a crucial task to
understand the impact of an increasingly urban world population on the environment …
understand the impact of an increasingly urban world population on the environment …
Analyzing land use/land cover changes using remote sensing and GIS in Rize, North-East Turkey
S Reis - Sensors, 2008 - mdpi.com
Mapping land use/land cover (LULC) changes at regional scales is essential for a wide
range of applications, including landslide, erosion, land planning, global warming etc. LULC …
range of applications, including landslide, erosion, land planning, global warming etc. LULC …
Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of …
Analysing the trend of land use/land cover change and its cause and consequence on
human livelihoods as well as on the environment is a matter of concern for sustainable …
human livelihoods as well as on the environment is a matter of concern for sustainable …