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Global change biology, ISSN 1354-1013, 10/2014, Volume 20, Issue 10, pp. 3147 - 3158
SeaWiFS | normalized difference vegetation index | arctic | boreal | SPOT D10 | GIMMS | MODIS NBAR | NDVI3g | climate change | Climate change | Normalized difference vegetation index | Boreal | Arctic | Life Sciences & Biomedicine | Biodiversity Conservation | Environmental Sciences & Ecology | Ecology | Biodiversity & Conservation | Science & Technology | Environmental Sciences | Environmental Monitoring - instrumentation | Climate Change | Ecosystem | Environmental Monitoring - methods | Spacecraft | Sunlight | Plants | Photosynthesis | Satellite communications services industry | Global temperature changes | Sensors | Ecosystems | Analysis | Global warming | Vegetation | Index Medicus | Primary s
Journal Article
Remote sensing of environment, ISSN 0034-4257, 12/2016, Volume 186, pp. 88 - 104
Tien Shan | Landslide detection | Change detection | Time series analysis | Optical remote sensing | Multi-sensor | NDVI-trajectories | Central Asia | Spatiotemporal analysis | Landslide frequency | Landslide hazard | Regional scale | Landslide identification | Kyrgyzstan | Life Sciences & Biomedicine | Technology | Remote Sensing | Environmental Sciences & Ecology | Imaging Science & Photographic Technology | Science & Technology | Environmental Sciences | Landslides | Artificial satellites in remote sensing | Sensors | Analysis | Earth resources technology satellites | Remote sensors | Data acquisition | Regional analysis | Time series | Landsat | Regional development | Environmental risk | Remote sensing | Satellites | Vegetation cover | Risk assessment | Temporal resolution | Landslides & mudslides | Trajectory analysis | Geological hazards | Landsat satellites | Databases | Data sets | Vegetation | Parameter identification | Assessments
Journal Article
2019, ISBN 9783038974123
CARS | obstacle detection | stratification | optical sensor | neural networks | spectral analysis | regression estimator | Kinect | response surface sampling | sensor evaluation | electromagnetic induction | multivariate water quality parameters | mandarin orange | proximity sensing | crop inspection platform | SPA-MLR | object tracking | distributed systems | feature selection | pest | simultaneous measurement | noninvasive detection | texture feature | diseases | soil mapping | genetic algorithms | classification | soil salinity | processing of sensed data | visible and near-infrared reflectance spectroscopy | germination | electrochemical sensors | thermal image | computer vision | ECa-directed soil sampling | handheld | hyperspectral imaging | recognition patterns | salt concentration | clover-grass | diffusion | dielectric dispersion | UAS | random forests | bovine embedded hardware | weed control | soil | case studies | total nitrogen | field crops | thermal imaging | cameras | dry matter composition | vineyard | near-infrared | connected dominating set | water depth sensors | salt tolerance | SS-OCT | wheat | deep convolutional neural networks | striped stem-borer | silage | geostatistics | detection | NIR hyperspectral imaging | soil type classification | water management | preprocessing methods | wireless sensor networks (WSN) | electronic nose | remote sensing image classification | machine learning | precision plant protection | radar | virtual organizations of agents | spatial variability | GF-1 satellite | packing density | data validation and calibration | dataset | Wi-SUN | temperature sensors | plant disease | naked barley | geoinformatics | gas sensor | X-ray fluorescence spectroscopy | vegetable oil | leaf area index | CIE-Lab | photograph-grid method | Vitis vinifera | change of support | WSN distribution algorithms | radiative transfer model | laser-induced breakdown spectroscopy | irrigation | 3D reconstruction | plant phenotyping | quality assessment | energy efficiency | wireless sensor network (WSN) | geo-information | Fusarium | texture features | weeds | discrimination | big data | soil moisture sensors | vine | meat spoilage | land cover | stereo imaging | near infrared | near infrared sensors | vegetation indices | remote sensing | greenhouse | biological sensing | compound sensor | pest management | moisture | plant localization | heavy metal contamination | artificial neural networks | time-series data | scattering | spectral pre-processing | sensor | crop area | moisture content | apparent soil electrical conductivity | data fusion | speckle | spatial data | semi-arid regions | smart irrigation | grapevine breeding | back propagation model | wide field view | partial least squares-discriminant analysis | spiking | area frame sampling | wireless sensor network | energy balance | light-beam | chromium content | fluorescent measurement | agriculture | machine-learning | precision agriculture | deep learning | RGB-D sensor | spectroscopy | hulled barely | dielectric probe | pest scouting | RPAS | water supply network | PLS | rice leaves | Capsicum annuum | spatial-temporal model | drying temperature | boron tolerance | mobile app | ambient intelligence | gradient boosted machines | hyperspectral camera | one-class | laser wavelength | nitrogen | LiDAR | fuzzy logic | dynamic weight | total carbon | chemometrics analysis | rice | landslide | management zones | agricultural land | on-line vis-NIR measurement | real-time processing | event detection | crop monitoring | apple shelf-life | rice field monitoring | wireless sensor | birth sensor | proximal sensor
eBook
2019, ISBN 3038977454
CARS | obstacle detection | stratification | optical sensor | neural networks | spectral analysis | regression estimator | Kinect | response surface sampling | sensor evaluation | electromagnetic induction | multivariate water quality parameters | mandarin orange | proximity sensing | crop inspection platform | SPA-MLR | object tracking | distributed systems | feature selection | pest | simultaneous measurement | noninvasive detection | texture feature | diseases | soil mapping | genetic algorithms | classification | soil salinity | processing of sensed data | visible and near-infrared reflectance spectroscopy | germination | electrochemical sensors | thermal image | computer vision | ECa-directed soil sampling | handheld | hyperspectral imaging | recognition patterns | salt concentration | clover-grass | diffusion | dielectric dispersion | UAS | random forests | bovine embedded hardware | weed control | soil | case studies | total nitrogen | field crops | thermal imaging | cameras | dry matter composition | vineyard | near-infrared | connected dominating set | water depth sensors | salt tolerance | SS-OCT | wheat | deep convolutional neural networks | striped stem-borer | silage | geostatistics | detection | NIR hyperspectral imaging | soil type classification | water management | preprocessing methods | wireless sensor networks (WSN) | electronic nose | remote sensing image classification | machine learning | precision plant protection | radar | virtual organizations of agents | spatial variability | GF-1 satellite | packing density | data validation and calibration | dataset | Wi-SUN | temperature sensors | plant disease | naked barley | geoinformatics | gas sensor | X-ray fluorescence spectroscopy | vegetable oil | leaf area index | CIE-Lab | photograph-grid method | Vitis vinifera | change of support | WSN distribution algorithms | radiative transfer model | laser-induced breakdown spectroscopy | irrigation | 3D reconstruction | plant phenotyping | quality assessment | energy efficiency | wireless sensor network (WSN) | geo-information | Fusarium | texture features | weeds | discrimination | big data | soil moisture sensors | vine | meat spoilage | land cover | stereo imaging | near infrared | near infrared sensors | vegetation indices | remote sensing | greenhouse | biological sensing | compound sensor | pest management | moisture | plant localization | heavy metal contamination | artificial neural networks | time-series data | scattering | spectral pre-processing | sensor | crop area | moisture content | apparent soil electrical conductivity | data fusion | speckle | spatial data | semi-arid regions | smart irrigation | grapevine breeding | back propagation model | wide field view | partial least squares-discriminant analysis | spiking | area frame sampling | wireless sensor network | energy balance | light-beam | chromium content | fluorescent measurement | agriculture | machine-learning | precision agriculture | deep learning | RGB-D sensor | spectroscopy | hulled barely | dielectric probe | pest scouting | RPAS | water supply network | PLS | rice leaves | Capsicum annuum | spatial-temporal model | drying temperature | boron tolerance | mobile app | ambient intelligence | gradient boosted machines | hyperspectral camera | one-class | laser wavelength | nitrogen | LiDAR | fuzzy logic | dynamic weight | total carbon | chemometrics analysis | rice | landslide | management zones | agricultural land | on-line vis-NIR measurement | real-time processing | event detection | crop monitoring | apple shelf-life | rice field monitoring | wireless sensor | birth sensor | proximal sensor
eBook
SAE technical paper series, Volume 972637.
eJournal
IEEE geoscience and remote sensing letters, ISSN 1545-598X, 10/2014, Volume 11, Issue 10, pp. 1840 - 1843
Atmospheric modeling | Landsat Data Continuity Mission (LDCM) | split-window (SW) algorithm | Land surface temperature | single-channel (SC) algorithm | thermal infrared (TIR) | Remote sensing | Earth | Temperature sensors | Land surface temperature (LST) | Landsat-8 | Satellites | Databases | Engineering | Physical Sciences | Technology | Engineering, Electrical & Electronic | Remote Sensing | Imaging Science & Photographic Technology | Science & Technology | Geochemistry & Geophysics | Algorithms | Landsat satellites | Meteorology
Journal Article
Journal of geophysical research. Atmospheres, ISSN 2169-897X, 10/2013, Volume 118, Issue 20, pp. 11,664 - 11,678
Sensor Data Record | calibration/validation | Suomi NPP VIIRS | sensor performance | satellite remote sensing | verification | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Earth, ocean, space | External geophysics | Exact sciences and technology | Meteorology | Meteorological satellites | Radiometers | Degradation | Band spectra | Bands | Imaging | Infrared imaging | Launches | MODIS
Journal Article
Remote sensing of environment, ISSN 0034-4257, 11/2016, Volume 185, pp. 155 - 170
Landsat 8 | Vineyard | Energy fluxes | Fusion | MODIS | Evapotranspiration | Life Sciences & Biomedicine | Technology | Remote Sensing | Environmental Sciences & Ecology | Imaging Science & Photographic Technology | Science & Technology | Environmental Sciences | Wineries | Wine industry | Usage | Earth resources technology satellites | Soil moisture | Water use | Vineyards | Sensors | Remote sensing | Hydrology | Surface energy | Satellite imagery | Crops | Data integration | Data fusion | Seasons
Journal Article
Remote sensing of environment, ISSN 0034-4257, 2010, Volume 114, Issue 2, pp. 426 - 439
Urbanization Landsat TM | support vector machine | Megacity | SAR | Urban monitoring | Urban ecology | Machine learning | Multi-sensor | SVM | Multi-temporal | Life Sciences & Biomedicine | Technology | Remote Sensing | Environmental Sciences & Ecology | Imaging Science & Photographic Technology | Science & Technology | Environmental Sciences | Internal geophysics | Fundamental and applied biological sciences. Psychology | Teledetection and vegetation maps | Animal, plant and microbial ecology | Exact sciences and technology | Earth, ocean, space | Applied geophysics | General aspects. Techniques | Earth sciences | Biological and medical sciences | Earth resources technology satellites | Artificial satellites in remote sensing | Algorithms | Growth | Ecosystems | Analysis | Media coverage | Radar systems | Watershed management
Journal Article
Journal of the Meteorological Society of Japan, ISSN 0026-1165, 04/2020, Volume 98, Issue 2, pp. 353 - 377
Journal Article