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]

open access: yesTikrit Journal of Engineering Sciences, 2021
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
doaj   +1 more source

Evaluation of four bias correction methods and random forest model for climate change projection in the Mara River Basin, East Africa

open access: yesJournal of Water and Climate Change, 2022
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
doaj   +1 more source

ارزیابی یادگیری ماشین و سنجش از دور در تخمین تبخیر و تعرق مرجع [PDF]

open access: yesمدیریت آب و آبیاری
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
doaj   +1 more source

Wheat Lodging Area Recognition Method Based on Different Resolution UAV Multispectral Remote Sensing Images

open access: yes智慧农业, 2023
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
doaj   +1 more source

NEW APPROACHES TO THE SECURITY OF GERMANY’S ENERGY SECTOR UNDER CURRENT CIRCUMSTANCES [PDF]

open access: yesНаучно-аналитический вестник Института Европы РАН, 2023
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
doaj   +1 more source

Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models

open access: yesRemote Sensing, 2020
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
doaj   +1 more source

Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery

open access: yesRemote Sensing, 2019
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
doaj   +1 more source

Classification Based on Machine Learning Methods for Identification of Image Matching Achievements

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
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
doaj   +1 more source

Characterization of a COTS-Based RF Receiver for Cubesat Applications

open access: yesSensors, 2020
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
doaj   +1 more source

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