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Shashin Sokuryo to Rimoto Senshingu = Journal of the Japan Society of Photogrammetry and Remote Sensing, ISSN 0285-5844, 01/2018, Volume 57, Issue 1, p. 13
The surveys of planting crops and conditions of the paddy fields are necessary for agricaltual policies. The Synthetic Aperture Radar (SAR) satellites can... 
Weather | Polarization | Soybeans | Data acquisition | Superhigh frequencies | Satellite observation | Surveying | Incidence angle | Earth surface | Planting | Synthetic aperture radar | Image acquisition
Journal Article
Journal of the Japan society of photogrammetry and remote sensing, ISSN 0285-5844, 2018, Volume 57, Issue 1, pp. 13 - 21
Journal Article
GIScience & Remote Sensing, ISSN 1548-1603, 11/2017, Volume 54, Issue 6, pp. 918 - 938
Sentinel-1A C-SAR and Sentinel-2A MultiSpectral Instrument (MSI) provide data applicable to the remote identification of crop type. In this study, six crop... 
agricultural fields | Hokkaido | classification | machine learning | Sentinel-2A | Sentinel-1A | SUPPORT VECTOR MACHINES | COVER | SATELLITE | LANDSAT 8 OLI | AGRICULTURAL CROPS | FEEDFORWARD NEURAL-NETWORKS | EXTREME LEARNING-MACHINE | IMAGE CLASSIFICATION | GEOGRAPHY, PHYSICAL | REMOTE SENSING | DIFFERENCE | BAND SAR DATA
Journal Article
International Journal of Remote Sensing, ISSN 0143-1161, 08/2017, Volume 38, Issue 15, pp. 4348 - 4361
Crop classification maps are useful for estimating amounts of crops harvested, which could help address challenges in food security. Remote-sensing techniques... 
SUPPORT | REMOTE SENSING | RANDOM FOREST CLASSIFICATION | TIME-SERIES | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | EXTREME LEARNING-MACHINE | INDEXES | Infrared | Crops | Landsat | Data | Imagery | Charge distribution | Remote sensing | Satellite imagery | Accuracy | Maps | Spectral resolution | Mathematical analysis | Food security | Classification | Landsat satellites | Reflectance | Image classification
Journal Article
Geocarto International, ISSN 1010-6049, 07/2019, Volume 34, Issue 8, pp. 839 - 855
Developing techniques are required to generate agricultural land cover maps to monitor agricultural fields. Landsat 8 Operational Land Imager (OLI) offers... 
Crop | random forests | deep forest | Landsat 8 | reflectance | spectral indices | CANOPY | OPTICAL-PROPERTIES | CLASSIFICATION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | MODIS | ENVIRONMENTAL SCIENCES | GEOSCIENCES, MULTIDISCIPLINARY | REMOTE SENSING | INTEGRATION | ASTER | VEGETATION INDEXES | SOIL | LEAF-AREA INDEX
Journal Article
Journal of Applied Remote Sensing, ISSN 1931-3195, 4/2018, Volume 12, Issue 2, pp. 026019 - 026019
The identification and mapping of crops are important for estimating potential harvest as well as for agricultural field management. Optical remote sensing is... 
vegetation index | random forests | support vector machine | crop | Sentinel-2 | stacking | REMOTE ESTIMATION | PERFORMANCE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | NONDESTRUCTIVE ESTIMATION | BAND | ALGORITHMS | CHLOROPHYLL CONTENT | PREDICTION | SPECTRAL INDEXES | ENVIRONMENTAL SCIENCES | REMOTE SENSING | GLOBAL VEGETATION | LEAF-AREA INDEX
Journal Article
Journal of the Japan society of photogrammetry and remote sensing, ISSN 0285-5844, 2015, Volume 54, Issue 4, pp. 199 - 205
Journal Article
Journal of the Japan society of photogrammetry and remote sensing, ISSN 0285-5844, 2018, Volume 57, Issue 2, pp. 78 - 83
Journal Article
Shashin Sokuryo to Rimoto Senshingu = Journal of the Japan Society of Photogrammetry and Remote Sensing, ISSN 0285-5844, 01/2018, Volume 57, Issue 2, p. 78
A crop classification method using satellite data is proposed as an alternative to the existing ground survey. In this study, crop types were classified using... 
Polarization | Algorithms | Parameters | Mathematical analysis | Classification | Machine learning | C band | Superhigh frequencies | Polarimetry | Radarsat
Journal Article
Shashin Sokuryo to Rimoto Senshingu = Journal of the Japan Society of Photogrammetry and Remote Sensing, ISSN 0285-5844, 01/2017, Volume 56, Issue 4, p. 143
This paper presents crop classification using satellite data to establish a mapping method to replace the existing ground survey. We used five scenes of C-band... 
Parameters | Mapping | Radarsat | Datasets | Accuracy | Algorithms | Data sets | Machine learning | C band | Classification | Polarimetry | Artificial intelligence | Image classification
Journal Article
Journal of the Japan society of photogrammetry and remote sensing, ISSN 0285-5844, 2017, Volume 56, Issue 4, pp. 143 - 148
Journal Article
Journal of the Japan society of photogrammetry and remote sensing, ISSN 0285-5844, 2015, Volume 54, Issue 2, pp. 95 - 100
Journal Article
Eisei Dobutsu = Medical Entomology and Zoology, ISSN 0424-7086, 01/2018, Volume 69, Issue 1, p. 19
Oncomelania hupensis nosophora (Ohn) is the intermediate snail host of Schistosoma japonicum (Trematoda; Schistosomatidae) (Sj) in Japan. The last domestic... 
Schistosomiasis | Habitats | Rice fields | Rivers | Epidemiology | River basins | Land use | Geographic information systems
Journal Article
Japanese Journal of Infectious Diseases, ISSN 1344-6304, 2009, Volume 62, Issue 2, pp. 125 - 132
In order to develop an inexpensive, simple, and accurate method of monitoring for the reemergence of schistosomiasis japonica in Yamanashi Prefecture, Japan,... 
INFECTIOUS DISEASES | CHINA | DISCOVERY | Satellite Communications | Animals | Schistosomiasis japonica - prevention & control | Telemetry - methods | Risk Assessment | Ecosystem | Japan | Geographic Information Systems - instrumentation | Schistosomiasis japonica - epidemiology | Disease Reservoirs | Gastropoda
Journal Article
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, ISSN 1682-1750, 2000, Volume 33, pp. 146 - 151
Conference Proceeding
Geographical Review of Japan, ISSN 0016-7444, 1928, Volume 4, Issue 11, pp. 1044 - 1064
Journal Article
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