نتایج جستجو برای: land use classification
تعداد نتایج: 2222136 فیلتر نتایج به سال:
The wealth of complementary data available from remote sensing missions can hugely aid efforts towards accurately determining land use and quantifying subtle changes in land use management or intensity. This study reviewed 112 studies on fusing optical and radar data, which offer unique spectral and structural information, for land cover and use assessments. Contrary to our expectations, only 5...
Introduction Trend of increasing natural resource degradation in many parts of the world, is a serious threat to humanity. Desertification is one of the manifestations of the damage that has already suffered as a scourge of many countries, including developing countries are. At present, remote sensing is one of technologies with timeliness data and accuracy suitable for monitoring land use c...
Harmonisation of land-use class sets should consider both space and time, as the objective should include harmonisation of land-use change in order to analyse environmental processes and problems. Existing systems make only a limited contribution to data harmonisation and data standardisation as they contain many inconsistencies in the adherence to the fundamental principles of classification a...
The paramo, plays an important role in our ecosystems as They balance the water resources and can retain substantial quantities of carbon. This research was carried out province Tungurahua, specifically Quero district.The aim is to develop a classification land use cover (LULC) paramo using satellite imagery several classifiers determine which one obtains best performance, for three different a...
Preparation of land cover / land use maps for large areas, based on automatic classification of high-resolution satellite data is the objective of many application programmes, e.g. GSE Land Monitoring Services. The crucial point for this kind of activity is to apply optimal classification approach, which will ensure high class recognition accuracy and classification repeatability. Among differe...
Land use classification and mapping mostly use remotely sensed data. During the past decades, several advanced classification methods such as neural network and support vector machine (SVM) have been developed. In the present study, Landsat TM images with 30m spatial resolution were used to classify land uses through two classification methods including support vector machine and neural network...
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