Results 11 to 20 of about 358,286 (141)
Object-Based Method for Urban Extraction through Using Quick Bird Satellite Imagery, LiDAR Data and Digital Urban Geomatics Techniques [PDF]
Urban extraction mapping has become increasingly important in recent years and particularity extraction urban features based on remotely sensed data such as highresolution imagery and LiDAR data.
Noor Hashim Hamed
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This study evaluates the performance of four bias correction methods based on CORDEX (coordinated regional climate downscaling experiment) domain six regional climate models (RCMs) at the Mara River Basin. A suitable bias correction method was considered
Priyanko das, Zhenke Zhang, Hang Ren
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ارزیابی یادگیری ماشین و سنجش از دور در تخمین تبخیر و تعرق مرجع [PDF]
تبخیر و تعرق مرجع (ETo) یکی از اساسیترین متغیرها در تعیین نیاز آبی محصول و برنامهریزی و طراحی سامانههای آبیاری است. مدلهای یادگیری ماشین برای رفع محدودیتهای مدلهای تجربی و برآورد تبخیر تعرق (ET) توسعه داده شدهاند.
جوانشیر عزیزی مبصر +2 more
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ObjectiveTo quickly and accurately assess the situation of crop lodging disasters, it is necessary to promptly obtain information such as the location and area of the lodging occurrences.
WEI Yongkang +8 more
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NEW APPROACHES TO THE SECURITY OF GERMANY’S ENERGY SECTOR UNDER CURRENT CIRCUMSTANCES [PDF]
The article examines current views of German leadership on ensuring security of energy sector amid the deteriorating political and economic situation in Europe. The issues of reliable and available energy supply became particularly relevant for Germany
Yaroslav S. Baranov
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The forest stock volume (FSV) is one of the key indicators in forestry resource assessments on local, regional, and national scales. To date, scaling up in situ plot-scale measurements across landscapes is still a great challenge in the estimation of ...
Yang Hu +11 more
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Cadastral boundaries are often demarcated by objects that are visible in remote sensing imagery. Indirect surveying relies on the delineation of visible parcel boundaries from such images.
Sophie Crommelinck +3 more
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Classification Based on Machine Learning Methods for Identification of Image Matching Achievements
The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications
Dewi Astria Faroek +2 more
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Characterization of a COTS-Based RF Receiver for Cubesat Applications
This paper reports the experimental results of a test campaign performed on the radio-frequency (RF) receiver prototype operating at a 2025−2110 MHz frequency range, designed and fabricated for CubeSat applications.
Antonio Lovascio +2 more
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