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land cover classification map

A Novel Land Cover Classification Map Based on a MODIS Time-Series in Xinjiang, China

A Novel Land Cover Classification Map Based on a MODIS Time-Series in Xinjiang, China

... existing land cover products analyzed prior to our own product generation, the accuracy of the novel XUAR 2010 land cover map can be considered ...the land cover ...

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Towards a Strategy to Implement the China Wetland Mapping Using Landsat TM

Towards a Strategy to Implement the China Wetland Mapping Using Landsat TM

... wetland classification preformed significantly better than unsupervised classification at multiple sites in the northeast United ...a land cover classification map ...

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Creation of New Global Land Cover Map with Map Integration

Creation of New Global Land Cover Map with Map Integration

... the land cover classes at corresponding pixels on the three existing land cover maps and adopted the classification favored by the ma- jority of those ...the classification of ...

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An entropy and MRF model-based CNN for large-scale Landsat image classification

An entropy and MRF model-based CNN for large-scale Landsat image classification

... reference land cover map classifies the darker red part as grass ...However, classification results of PSPNet can not classify this part ...wet land as cultivated land. PSPNet ...

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Assessment of regional changes for enhancing water availability

Assessment of regional changes for enhancing water availability

... to map the existing scenario of the land use in terms of obtained ...a classification worked under the realistic ...cific land cover is ...specified land use category (Table  ...

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Indigenous Land Management Practices and Land Cover Change in Akwa Ibom State, Nigeria

Indigenous Land Management Practices and Land Cover Change in Akwa Ibom State, Nigeria

... existing land use/cover map of the area was also acquired from the Cross River Basin Development Authority ...for land use ...and land management options in the rural ...the land ...

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Change Detection in Forest or Non-Forest Cover Mapping Using Remote Sensing and GIS Techniques of Patur Taluka in Akola District, Maharashtra

Change Detection in Forest or Non-Forest Cover Mapping Using Remote Sensing and GIS Techniques of Patur Taluka in Akola District, Maharashtra

... various land use/land cover classes systematically on the enhanced fused satellite imagery during interpretation ...image classification key is prepared for classifications of surface ...base ...

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Random Forest Algorithm for Land Cover Classification

Random Forest Algorithm for Land Cover Classification

... image classification has long attracted the attention of the remote-sensing community because classification results are the basis for many environmental and socioeconomic ...applications. ...

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Land Cover Classification Using Sentinel 1 SAR Data

Land Cover Classification Using Sentinel 1 SAR Data

... The Level-1 product of Sentinel-1 GRD data is calibrated, filtered by a 5X5 kernel using gamma map approach and terrain corrected before application. During terrain correction a 25m SRTM-DEM data has been used and ...

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Deriving a per-field land use and land cover map in an agricultural mosaic catchment

Deriving a per-field land use and land cover map in an agricultural mosaic catchment

... For vegetative classes, we also recorded information on life form, life cycle and crop type following the land cover classification system (LCCS) developed by the FAO (Food and Agricultural ...

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Standardizing Australian semi-urban land cover mapping through FAO land cover classification system

Standardizing Australian semi-urban land cover mapping through FAO land cover classification system

... The map shown here as Brisbane (Figure 5), is a subsection of a larger map that covers the whole of the southeast Queensland (SEQ) catchment, which was classified under this ...of land cover ...

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Deep learning for land cover and land use classification

Deep learning for land cover and land use classification

... the classification confidence, considering its superiority in terms of classification accuracy and the regional homogeneity of classification ...CNN classification results, and the MLP-MRF is ...

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Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: classification methods and sensitivities to errors

Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: classification methods and sensitivities to errors

... Abstract. Land cover maps are used widely to parameterize the biophysical properties of plant canopies in models that describe terrestrial biogeochemical ...supervised classification algorithms to ...

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Evaluation of Flooding Risk in Greater Dhaka District Using Satellite Data and Geomorphological Land Classification Map

Evaluation of Flooding Risk in Greater Dhaka District Using Satellite Data and Geomorphological Land Classification Map

... various land use/land cover categories such as agriculture land use, built up area, water surface, bare land and vegetation ...derive land use/cover maps of the study area ...

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Exploiting SAR Tomography for Supervised Land-Cover Classification

Exploiting SAR Tomography for Supervised Land-Cover Classification

... accurate land-cover classification [1], most work focuses on multi-channel SAR consisting of images of multiple polarizations, frequencies, or taken at different ...Those classification ...

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Haider, Khaled
  

(2011):


	Using Spatial Data for Geo-Environmental Studies.


Dissertation, LMU München: Fakultät für Geowissenschaften

Haider, Khaled (2011): Using Spatial Data for Geo-Environmental Studies. Dissertation, LMU München: Fakultät für Geowissenschaften

... different land use/land cover classes are derived from remote sensing data (classification of a cloud-free LANDSAT 7 ETM+ image using the supervised classification ...Soil Map of ...

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Land Use Land Cover Change Detection using Remote Sensing and GIS in Srinagar, India

Land Use Land Cover Change Detection using Remote Sensing and GIS in Srinagar, India

... of land use/cover like Built-up, Vegetation and Water are the key drivers of global change that reflects the territorial and socio-economic progress of an area and have significant implications for many ...

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Change Detection in Land Use and Land Cover Using Remote Sensing Data and GIS in Renuka Forest Division

Change Detection in Land Use and Land Cover Using Remote Sensing Data and GIS in Renuka Forest Division

... of land cover maps of 1972 and 1989 showed the considerable changes in forest, agriculture, open land/ grass land/ shrub land (Table ...tree cover has been also noticed during ...

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GIS Based Soil Loss Estimation Using RUSLE Model: The Case of Jabi Tehinan Woreda, ANRS, Ethiopia

GIS Based Soil Loss Estimation Using RUSLE Model: The Case of Jabi Tehinan Woreda, ANRS, Ethiopia

... A long history of agricultural activity with a high level of population pressure and exploitive nature of agri- cultural practices has led to existing depletion of vegetation covers and over-utilization of land ...

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A Novel Decision Tree Algorithm for Land Cover Classification Using Hybrid Polarimetric Sar Data

A Novel Decision Tree Algorithm for Land Cover Classification Using Hybrid Polarimetric Sar Data

... Nowadays land use and land cover classification of a particular part of many countries, especially city areas have got much importance for proper planning against the continuous alteration ...

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