Results 311 to 320 of about 133,736 (373)
Analisis Deforestasi Lahan Karet Menggunakan Google Earth Engine
Dwi Romadhan +2 more
openaire +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
ABSTRACT Building an understanding of river ecosystems often involves integrating information from different locations, spatial scales and points in time. Geomorphologists and ecologists have long considered ways to explore river ecosystems at different, hierarchical, spatial scales so that features observed locally can be linked to the character of ...
Edward J. Cox +6 more
wiley +1 more source
Software to Support Remote Sensing of River Discharge Based on Critical Flow Theory
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge (Q$$ Q $$) can be costly and hazardous for equipment and personnel. Remote sensing has become a viable alternative, but many image‐based techniques require field data for calibration, and depth and velocity can seldom
Carl J. Legleiter, Inhyeok Bae
wiley +1 more source
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Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine
IEEE Transactions on Geoscience and Remote Sensing, 2023Flooding is one of the most frequent and disastrous natural hazards triggered by extreme precipitation, high river runoff, hurricane storm surges, and the compounding effects of various flood drivers.
Ebrahim Hamidi +4 more
semanticscholar +1 more source
2021
Maps of the average values of the vegetation indices NDVI, SAVI, ARVI, EVI, GCI, NBR and SIPI for the territory of the Republic of Tuva from May to September for the period from 2000 to 2020 were built using an open-sourse cloud platform for geospatial data analysis Google Earth Engine (GEE).
openaire +1 more source
Maps of the average values of the vegetation indices NDVI, SAVI, ARVI, EVI, GCI, NBR and SIPI for the territory of the Republic of Tuva from May to September for the period from 2000 to 2020 were built using an open-sourse cloud platform for geospatial data analysis Google Earth Engine (GEE).
openaire +1 more source

