[PDF] Top 20 Agro hydrology and multi temporal high resolution remote sensing: toward an explicit spatial processes calibration
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Agro hydrology and multi temporal high resolution remote sensing: toward an explicit spatial processes calibration
... of high-resolution satellite image series offers new opportunities in agro- hydrological research and ...distributed agro-hydrological model: topography-based nitrogen transfer and ... See full document
19
Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration
... with high resolution in model evaluations and ...different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model ... See full document
25
Multi sensor, multi temporal, and ultra high resolution environmental remote sensing from UAVs
... UAV-based remote sensing of vegetation in the visible, near infrared, and thermal infrared region of the electromagnetic ...sensor calibration and correction (Berni et al., 2009), correlation of ... See full document
163
Estimation of Tsunami Hazard Vulnerability Factors by Integrating Remote Sensing, GIS and AHP Based Assessment
... Kitakami-unga or Kitakami Canalis an artificial watercourse (canal) with an average elevation of-9 meter be- low sea level along 15.8 km. The soil in the area is high in andosols (an), soils composed of volcanic ... See full document
15
A New Integrating Multi features C5 0 Decision Tree Method for Classification of Tropical Rubber Woods Using High resolution Remote Sensing Image
... integrating multi-features includes standardizing spatial resolution of all the images, correcting images according to the same standard, and finally, cutting all ...and spatial feature images ... See full document
10
IMPACTS OF SENSOR SPATIAL RESOLUTION ON REMOTE SENSING IMAGE CLASSIFICATION
... specific spatial resolution from various spatial resolutions for particular purpose can lead to ambiguous image ...higher spatial resolution remotely sensed data may deliver improved ... See full document
6
Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images
... DOI: 10.4236/jcc.2018.611018 186 Journal of Computer and Communications a set of semantic categories is the main purpose of HRRS scene classification, and has become one of the most important applications of the HRRS. ... See full document
9
Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets
... of high resolution remote sensing images in terms of spatial, spectral and temporal resolutions which in turn helped the researchers to improve the performance of Land Use Land ... See full document
5
High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest
... the high spatial and hyperspectral remote sensing techniques, together with its applications and works previously done using remote sensing techniques for vegetation and its ... See full document
58
Spatial and temporal variation of ETo for Egypt using remote sensing
... losses processes define the crop water ...two processes is called evapotranspiration (ET) which represents about 99% of the total water consumptive use of the ... See full document
9
Seasonal Vegetation Changes in the Malinda Wetland Using Bi Temporal, Multi Sensor, Very High Resolution Remote Sensing Data Sets
... satellite remote sensing approaches. High spatial resolu- tion remote sensing approaches overcome this limitation allowing detailed inventorying and re- search on such small ... See full document
16
Yield variability prediction by remote sensing sensors with different spatial resolution
... Currently, remote sensing sensors are very popular for crop monitoring and yield ...very high (QuickBird and WorldView-2 satellite data) spatial resolution, together with GreenSeeker ... See full document
8
Remote sensing of coral reefs for monitoring and management: a review
... There is increasing awareness of the magnitude of threats facing coral reef ecosystems [6], and monitoring activities have become important for assessing the impact of disturbance on reefs and tracking subsequent ... See full document
40
Assessment of Multi-Temporal Image Fusion for Remote Sensing Application
... as multi-sensor or multi-temporal fusion, ...the multi-sensor, multi- temporal fusion process when a pan-sharpened scene is produced from low spatial resolution ... See full document
7
Ultrafast Electron Microscopy for Chemistry, Biology and Material Science
... its spatial-temporal stru- cture probed by ultrashort electron bunches; and 3) the position-sensitive detection of the electrons after their interaction with the ...pulse temporal spreading is the ... See full document
24
Multi sensing based target tracking by using decision making strategy with spatial and temporal properties
... establish sensing strategy that make the target tracking within the three-dimensional domain using spatial and temporal ...the multi-domain detection and to test al- ... See full document
10
Application of photogrammetry techniques for the visual assessment of vessels’ cargo hold
... of resolution may not ena- ble the identification of minimum-size defects, it is considered to be adequate / sufficient for the first stage of the structure ... See full document
7
Multi temporal airborne remote sensing of intertidal sediment dynamics
... that multi-temporal remote sensing offers significant potential to capture and quantify coastal processes such as intertidal sediment dynamics that realistically can not be obtained by ... See full document
9
Automated identification of potential snow avalanche release areas based on digital elevation models
... in remote ar- eas where observations on past avalanche events are miss- ing but high-resolution elevation models are ...a remote, high-alpine area is the Rohtang tunnel ac- cess road in ... See full document
15
A Review of Geological Applications of High-spatial- resolution Remote Sensing Data
... employ high-spatial-resolution (HR) remote sensing (RS) data for many diverse applications as they effectively reflect detailed geological information, enabling high-quality and ... See full document
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