This dataset is a point/line/polygon representation of weed infestations within the upper Derwent Estuary wetlands of Tasmania. Locations of declared and environmental weeds occurring within or directly adjacent to the wetlands are recorded. Density of infestation is not recorded. This dataset is one of three produced for the upper Derwent Estuary wetlands for the Derwent Estuary Program.

This data represents the number of positive and negative Pd (Pseudogymnoascus destructans) detections by county over the sampling period 2008-2012. Pd is the fungus that is the causative agent of white-nose syndrome.

This data documents the results of sampling for the white-nose syndrome fungus, Pseudogymnoascus destructans (Pd) at the USGS National Wildlife Health Center between 2013-2020. Data are reported on the county level. Locations are accurate to county only. We used data collected at winter locations only (hibernaculum) for this data set.

◎ 데이터셋 : 오이의 정상 및 병해충 이미지의 메타데이터◎ 조사기간 : 2020.9월~12월(4개월)◎ 조사내용 : 오이 작물을 다각도에서 촬용하고 해당 이미지를 전문가가 판독하여 병해충 여부를 진단한 데이터◎ 활용분야 : 사진이미지를 통해 병해충을 진단할 수 있는 시스템(앱) 개발에 활용◎ 수집 방법 : 작물에 병해충 배양을 위해 격리실을 제작한 후 다양한 각도에서 이미지 촬영 한 후 병해충 사진 라벨링히고 병리학 전문가 자문 첨부◎ 데이터 제공 방법1. 메타데이터는 범정부 데이터포털에 연결된 링크에서 다운로드 가능2. 이미지 파일① 메타데이터의 경로 정보와 파일명을 조합하여 확인 및 다운로드 가능예) https://www.bigdatahub.go.kr/images/disease/a1_1(1).jpg② 대용량 파일로 별도 제공 요청시 직접 제공 가능(300GB이상의 저장장치 별도 준비)

This data contains ant abundance and incidence collected within the Fletcherview Tropical Rangelands site.

Phytophthora (PC) Observations contains the location of confirmed, known or likely incidences of the plant pathogen Phytophthora cinnamoni. Previously confirmed sites have been subject to soil testing from monitoring via either Sustainable Timbers Tasmania (Forestry) or Natural and Cultural Heritage (DPIPWE). Dying plant species maybe a symptom of an active Phytophthora infestation. This layer is a compilation of records from the Natural Values Atlas (DPIPWE) https://www.naturalvaluesatlas.tas.gov.au/ which contain DPIPWE, PWS and other agency records. The function of this layer is most relevant to PWS operations. Features are either mapped as points (small isolation's on affected plants) or polygons (larger vegetated areas that appear to be impacted by Phytophthora). View Dataset (permission required): https://maps.thelist.tas.gov.au/listmap/app/list/map?bmlayer=3&layers=1848 Background information from DPIPWE: https://dpipwe.tas.gov.au/biosecurity-tasmania/plant-biosecurity/pests-and-diseases/phytophthora

During 2018, uncrewed aerial vehicles (UAVs or 'drones') were used to collect spatially referenced aerial imagery from 20 management units (sites) enrolled in the Phragmites Adaptive Management Framework, a collective learning program developed by the Great Lakes Phragmites Collaborative. Management units were located in Michigan, Ohio, and Wisconsin (USA). Invasive Phragmites australis (hereafter "Phragmites") had been managed at each management units some time previously by the landowner or land manager, and aerial imagery was then collected to create cover classifications distinguishing live and dead Phragmites from the surrounding landscape using object-based image analysis with training based on ground-truth field data and photos. Standard color (RGB) imagery was collected at all 20 management units, and near-infrared (NIR) imagery was collected at 2 of the 20 management units. Accuracy for the classifications was assessed by comparing cover classifications to ground truth data via confusion matrices. The accuracy associated with generating cover classifications by RGB and NIR imagery were also compared.