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RICE CROP MAPPING USING SENTINEL-1A PHENOLOGICAL METRICS
Sentinel-1A crop phenology rice crop mapping Mekong Delta
2016/12/1
Rice is the most important food crop in Vietnam, providing food more than 90 million people and is considered as an essential source of income for majority of rural populations. Monitoring rice-growin...
HYPERTEMPORAL IMAGE ANALYSIS FOR CROP MAPPING AND CHANGE DETECTION
Multitemporal Change Detection Mapping Monitoring Data Mining SPOT Crop Land Cover
2015/12/31
Many authors explored the use of multi-temporal images, recorded within a season or across years, for (i) ecosystem monitoring, (ii) land cover (crop) identification, and (iii) change detection(Copin ...
FIELD-BASED CROP MAPPING THROUGH SEQUENTIAL MASKING CLASSIFICATION OF MULTI-TEMPORAL LANDSAT-7 ETM+ IMAGES IN KARACABEY, TURKEY
Landsat Agriculture Crop Classification Multitemporal Integration Object
2015/7/29
This study presents a field-based crop mapping through sequential masking classification of multi-temporal Landsat-7 ETM+ images
acquired in May, July, and August 2000 in Karacabey, Turkey. First, t...
REGIONAL SCALE CROP MAPPING USING MULTI-TEMPORAL SATELLITE IMAGERY
Crop classification Missing data Landsat-8
2015/5/6
One of the problems in dealing with optical images for large territories (more than 10,000 sq. km) is the presence of clouds and shadows that result in having missing values in data sets. In this pa...
Object-Based Classification of Multi-temporal Images for Agricultural Crop Mapping in Karacabey Plain, Turkey
Object-based Multi-temporal Crop Classification Mean-Shift Kompsat-2 Envisat ASAR
2014/9/29
The objective of this research is to classify major crop types cultivated in Karacabey Plain of north western Turkey using multitemporal Kompsat-2 and Envisat ASAR data with an object-based methodolog...
SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY
object-based classification Landsat crop artificial_intelligence/SVM multitemporal
2014/4/29
Crop mapping and time series analysis of agronomic cycles are critical for monitoring land use and land management practices, and analysing the issues of agro-environmental impacts and climate change....