Results 11 to 20 of about 9,205 (120)
Effects of Atmospheric Correction on Remote Sensing Statistical Inference in an Aquatic Environment
Atmospheric correction (AC) plays a critical role in the preprocessing of remote sensing images. Although AC is necessary for applications based on remote sensing inversion, it is not always required for those based on remote sensing classification ...
Weining Zhu, Wei Xia
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During late September, 2019 Bihar was struggling with severe flooding problem, which otherwise is marked as a period of flood recession due to withdrawal of south-east monsoons. The present study assess the flood situation using Sentinel-1 SAR images and
C. M. Bhatt +4 more
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The Tibetan Plateau (TP), known as the third pole, is the highest plateau in the world. It has numerous wetlands, which are important ecological security barriers and plays an important role in mitigating global climate change. This paper employed breaks
Yuhan Chen +11 more
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Land Surface Temperature Retrieval Using High-Resolution Vertical Profiles Simulated by WRF Model
This work gives a first insight into the potential of the Weather Research and Forecasting (WRF) model to provide high-resolution vertical profiles for land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing.
Lucas Ribeiro Diaz +6 more
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ANALYSIS OF THE INFLUENCE OF DISTANCE ON DATA ACQUISITION INTENSITY FORESTRY TARGETS BY A LIDAR TECHNIQUE WITH TERRESTRIAL LASER SCANNER [PDF]
The forest sciences as well as other areas of knowledge benefit from technological advances to develop their working methods and increase their knowledge of their specific field of study.
F. Bordin +5 more
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Although kharif season crops are more vulnerable to agricultural droughts due to uncertainty in monsoon rains, crops of rabi season grown under residual soil moisture and rainfed minor irrigation tanks are equally vulnerable to drought hazard.
C. S. MURTHY +4 more
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LuoJiaAI: A cloud-based artificial intelligence platform for remote sensing image interpretation
The rapid processing, analysis, and mining of remote-sensing big data based on intelligent interpretation technology using remote-sensing cloud computing platforms (RS-CCPs) have recently become a new trend.
Zhan Zhang +6 more
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Remote sensing (RS) has revolutionized field data collection processes and provided timely and spatially consistent acquisition of data on the terrestrial landscape properties.
Lenka Lackoóvá +6 more
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Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding
Leptospirosis is a serious public health problem in Brazil, which can be observed after flooding events. Using an exploratory mixed clustering method, this ecological study analyzes whether spatial-temporal clustering patterns of leptospirosis occur in ...
Alice Nardoni Marteli +4 more
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Cross-modal remote sensing (RS) image retrieval aims to retrieve RS images using other modalities (e.g., text) and vice versa. The relationship between objects in the RS image is complex, i.e., the distribution of multiple types of objects is uneven ...
Fanglong Yao +6 more
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