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미국
IMAP: Image Mapping & Analytics for Phenotyping
,A set of PYTHON programs to implement image processing of ground and aerial images by offering via graphical user interface (GUI) 1) plot-level metrics extraction through a series of algorithms for image conversion, band math, radiometric/geometric calibrations, segmentation, masking, adaptive region of interest (ROI), gridding, heatmap, and batch process, 2) GIS interface for GeoTIFF pixels to Lat/Lon, UTM conversion, read/write shapefile, Lat/Lon to ROI, grid to polygon, and 3) utility GUI functions for zooming, panning, rotation, images to video, file I/O, and histogram.,,
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연관 데이터
iStitch: GUI-based Image Stitching Software
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,GUI-based software coded in PYTHON to automate image stitching and alignment processes from a set of tile images for the high throughput image analytics by implementing a series of algorithms: 1) deskewing the image acquired in an oblique view angle, 2) row alignment of the geometrically drifted image due to acquisition errors by detecting the crop row using Hough Transformation, and 3) options for omnidirectional overlap trimming and resizing.,,
네이버시스템(주) - 토지 피복지도 항공위성 이미지 데이터(경상)
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국토지리정보원 항공사진 및 ESA Sentinel-2 위성영상을 이용하여 경상지역의 건물, 주차장, 도로 등을 분류한 학습용 토지 피복지도 항공/위성 이미지 데이터로, 경상지역의 다양한 환경변화를 효율적으로 탐지하기 위한 토지 피복 자동분할(Segmentation) 및 변화지역 탐지 AI 알고리즘 모델 개발에 사용됨
경상남도 남해군 작물 재배 현황 속성 정보
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2022년 드론 촬영을 통한 고해상도 이미지를 판독하여 농업 디지털전자지도(팜맵) 기반으로 생성한 경상남도 남해군 농지별 재배 현황 지리 정보
UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient
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,This dataset consists of UAS flight images from three sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected between June 4 and July 9, 2019. The lowest elevation site ('wbs1', 1,425 m) was vegetated by shrub steppe dominated Wyoming big sage (Artemisia tridentata ssp. wyomingensis). Vegetation at the middle elevation site ('los1', 1,680 m) was shrub steppe dominated by low sage (Artemisia arbuscula). Shrub steppe at the highest elevation site ('mbs1', 2,110 m) was dominated by mountain big sage (Artemisia tridentata ssp. vaseyana) and Utah snowberry (Symphoricarpos oreophilus utahensis). A MicaSense RedEdge 3 sensor mounted on a DJI Matrice 600 Pro UAS platform was used to collect multispectral imagery of each site. The drone was flown by a Federal Aviation Administration (FAA) Part 107 certified remote pilot between June 5 and July 9 2019. All flights were completed within two hours of solar noon. The RedEdge is a broadband multispectral sensor: blue (475nm), green (560nm), red (668nm), red edge (717nm), and near-infrared (840nm). The RedEdge sensor was radiometrically calibrated using a reflectance panel before and after each flight. A DJI Phantom 4 with the stock FC330 Red Green Blue (sRGB) camera was flown over each site to collect imagery at a finer spatial resolution to assist with training and test data for vegetation type classification.,Resources in this dataset:,Resource Title: UAS Imagery and Location Data - SCINet.,File Name: Web Page, url: https://app.globus.org/file-manager?origin_id=904c2108-90cf-11e8-9672-0a6d4e044368&origin_path=/LTS/ADCdatastorage/NAL/published/node424632/,Folder containing imagery (.zip) and location (.csv) data. The .zip files contain unprocessed visual (RGB) imagery in .jpg format acquired with a 12-MP DJI (Sony) FC330 camera and unprocessed multispectral, 5-band imagery in .tif format acquired with a MicaSense RedEdge-M sensor. Camera settings and EXIF information are embedded in the imagery files. The .csv files contain ground control point (GCP) labels and coordinate information recorded with an RTK instrument for GCP target (black/white cross) locations at the relevant study areas.,SCINet users: The files can be accessed/retrieved with valid SCINet account at this location: /LTS/ADCdatastorage/NAL/published/node424632/,See the SCINet File Transfer guide for more information on moving large files: https://scinet.usda.gov/guides/data/datatransfer,Globus users: The files can also be accessed through Globus by following this data link. The user will need to log in to Globus in order to retrieve this data. User accounts are free of charge with several options for signing on. Instructions for creating an account are on the login page.,,
iCalendar: Satellite-based Field Map Calendar
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,GUI-based software coded in PYTHON to promote throughput image processing and analytics of a big dataset of satellite imagery and provide spatiotemporal monitoring of crop health conditions throughout the growing season by automatically illustrating 1) a field map calendar (FMC) with daily thumbnails of vegetation heatmaps in each month and 2) a seasonal Vegetation Index (VI) Profile of the crop fields. Output examples of FMC and VI Profile are found in files named in fmCalendar.jpg and NDVI_Profile.jpg, respectively, which were created satellite imagery on 5/1-10/31 in 2020 from a sugarbeet field in Moorhead, MN.,
팜맵
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고해상도 항공영상과 위성영상, 드론영상 등을 활용하여 농경지 현실경계를 구획하여, 농경지 면적, 밭, 논 등 다양한 속성정보가 입력된 농경지 전자지도
i15 Crop Mapping 2019
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경상북도 팜맵과 드론 활용 경상북도 의성군 농작물 재배현황
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드론 실측에 기반한 과학적 자료 구축으로 스마트 농정 실현 토대 마련, 농업 데이터 축적, 확산을 위한 기반 조정, 재배 현황 조사를 통한 공간정보입니다.
경상북도 팜맵과 드론 활용 경상북도 영천시, 의성군 시설 재배현황
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드론 실측에 기반한 과학적 자료 구축으로 스마트 농정 실현 토대 마련, 농업 데이터 축적, 확산을 위한 기반 조정, 재배 현황 조사를 통한 공간정보입니다.