Uncrewed Aircraft Systems (UAS) RGB orthomosaic - Okehampton Bay, Tasmania
收藏官方服务：
资源简介：
This dataset contains UAV RGB imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX (5-band multispectral sensor). P1 imagery were georeferenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. Camera positions were post-processed using <a href="https://www.ga.gov.au/scientific-topics/positioning-navigation/geodesy/auspos">AUSPOS</a>. The flight took place between 14:00 and 14:08 at a height of 80m with a flying speed set to 5 m/s. Forward and side overlaps of photographs were set to 80%. <br><br> Agisoft Metashape was used to generate this RGB orthomosaic (resolution 1 cm). This cloud optimised GeoTIFF was created using rio command line interface. The coordinate reference system of the orthomosaic is EPSG 7855 - GDA2020 MGA Zone 55.
应用场景：
创建时间：
2021-12-13
相关数据集
NEER: Mangrove Resilience on Sanibel Island
Structural damage to mangroves and beach erosion were observed at several locations across Sanibel Island. Terrestrial LiDAR and multispectral imagery were used for data collection.
DataCite Commons2025-06-02 更新290
Additional file 1 of Cabin temperature during prehospital patient transport – a prospective observational study
Additional file 1. Additional material showing the temperature plots for all three ambulance vehicles and all four seasons, is available as Additional file 1. The figures are A: HEMS winter, B: HEMS spring, C: HEMS summer, D: HEMS: autumn, E: GA1 winter, F: GA1 spring, G: GA1 summer, H: GA1 autumn, I: GA2 winter, J: GA2 spring, K: GA2 summer, L: GA2 autumn. The asterisk in Fig. G denotes that the graph was truncated at 180 min. The temperature remained essentially unchanged until the end of the mission at 256 min. HEMS: helicopter emergency medical service. GA: ground ambulance.
DataCite Commons2020-08-25 更新80
Passive acoustic data from A3 in the Bering Strait 8 of 17 (130816_150000_AU_BS03.wav to 130927_050000_AU_BS03.wav)
Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 66.76 N latitude and 168.95 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from September 2012-May 2013 and July 2013-July 2014
DataONE2016-09-20 更新30
Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-08-28
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, on 2011-08-28 (16:34:59.3730380Z). Data were collected by Landsat 5, row 028, path 025. Cloud cover was 11.17 percent. These are reference data from the USGS EROS archive, not data generated by North Temperate Lakes LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50250282011240PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T07:01:38Z.
Environmental Data Initiative Repository60
Swan Valley Loupe Time-domain Electromagnetic Pilot Study
A collection of time-domain electromagnetic survey data collected using the Loupe system along various transects adjacent to the Swan River. The data was collected on behalf of the Department of Water and Environmental Regulation as part of a pilot study to test the feasibility of using the Loupe system to monitor changes in electrical conductivity in a peri-urban environment.\nLineage: Data was collected with the Loupe time-domain electromagnetic system (https://www.design-industry.com.au/loupe).
Research Data Australia80
Stafford-CUIS Georgia
Timeseries data from \'Stafford-CUIS Georgia\' (raws_lagsta)cdm_data_type = TimeSeriesVARIABLES:time (seconds since 1970-01-01T00:00:00Z)latitude (degrees_north)longitude (degrees_east)z (Altitude, m)battery_voltage (Battery, V)battery_voltage_qc_agg (Battery QARTOD Aggregate Quality Flag)battery_voltage_qc_tests (Battery QARTOD Individual Tests)fuel_temperature (degree_Celsius)fuel_temperature_qc_agg (Fuel Temperature QARTOD Aggregate Quality Flag)fuel_temperature_qc_tests (Fuel Temperature QARTOD Individual Tests)fuel_moisture (%)fuel_moisture_qc_agg (Fuel Moisture QARTOD Aggregate Quality Flag)fuel_moisture_qc_tests (Fuel Moisture QARTOD Individual Tests)relative_humidity (%)relative_humidity_qc_agg (Relative Humidity QARTOD Aggregate Quality Flag)relative_humidity_qc_tests (Relative Humidity QARTOD Individual Tests)lwe_thickness_of_precipitation_amount (Precipitation (accumulation), mm)lwe_thickness_of_precipitation_amount_qc_agg (Precipitation (accumulation) QARTOD Aggregate Quality Flag)lwe_thickness_of_precipitation_amount_qc_tests (Precipitation (accumulation) QARTOD Individual Tests)solar_irradiance (Solar Radiation, W.m-2)solar_irradiance_qc_agg (Solar Radiation QARTOD Aggregate Quality Flag)solar_irradiance_qc_tests (Solar Radiation QARTOD Individual Tests)air_temperature_cm_time__mean_over_pt24h (Air Temperature, degree_Celsius)air_temperature_cm_time__mean_over_pt24h_qc_agg (Air Temperature QARTOD Aggregate Quality Flag)air_temperature_cm_time__mean_over_pt24h_qc_tests (Air Temperature QARTOD Individual Tests)wind_speed_of_gust (Wind Gust, mile.hour-1)wind_speed_of_gust_qc_agg (Wind Gust QARTOD Aggregate Quality Flag)... (8 more variables)
ERDDAP70
density_etsi_de_telecomunicaci_n_b8-27-eb-5e-ab-ba
Density of equipment and population in Entrance B (step to laboratories) of the ETSI Telecommunication Center (Madrid).
data.europa2022-12-28 更新00
Measurement of Pm10_mass at Rocky Mountain NP
Measurement of Pm10_mass at Rocky Mountain NP
Mendeley Data2024-03-27 更新70
LBA: Santarem Soil Temperature and Soil Moisture Data Set
This data set contains the Coordinated Energy and Water Cycle Observation Project (CEOP) Enhanced Observing Period 3 (EOP-3) Large Scale Biosphere-Atmosphere Experiment in...
University Corporation for Atmospheric Research20
Klimadaten Tutiempo.net
Historische Klimadaten von Tebessa, Temperaturdaten, Wind, Niederschlag, Luftfeuchtigkeit, Luftdruck, Nebel, Sturm, Schneefall ...
de.tutiempo.net50
OCNMS: Physical Oceanography: moored temperature data: Cape Elizabeth, Washington, USA (CE042)
This metadata record describes moored seawater temperature data collected at Cape Elizabeth, Washington, USA, by OCNMS. Measurements were collected using a StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2006-05-30. The instrument depth was 012 meters, in an overall water depth of 42 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DataONE2007-08-29 更新50
Water temperature and salinity real-time profiles from cruise 3901400 (DCQC)
For definition of quality flags see hdl:10013/epic.31518.d001
PANGAEA2005-01-01 更新00
2018-2020年长丰县和肥东县景观植物生态修复技术研发与集成示范样品测试数据库
含都市农区景观植物生态修复技术研发与集成示范的产地环境监测数据，主要包括土壤镉砷、作物镉（植株、果实）等指标测定数据。
国家农业科学数据中心2022-08-31 更新110
PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)
This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2011-06-16. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DataONE2011-08-18 更新70
Aurora Australis Marine Science Cruise AU1602, Dalton, Mertz and Ninnis CTDs - Oceanographic Field Measurements and Analysis
Oceanographic measurements were collected aboard Aurora Australis cruise au1602, voyage 2 2016/2017, from 8th December 2016 to 21st January 2017. The cruise commenced with a Casey resupply, followed by work around the Dalton Polynya/Moscow University Iceshelf, then the Mertz Glacier region, and then around the Ninnis Polynya. 14 stations at the southern end of the SR3 transect were also completed. Ice conditions prevented access to the front of the Totten Glacier. A total of 73 CTD vertical profile stations were taken on the cruise, most to within 12 metres of the bottom (Table 1). Over 800 Niskin bottle water samples were collected for the measurement of salinity, dissolved oxygen, nutrients (phosphate, nitrate+nitrite, silicate, ammonia and nitrite), dissolved inorganic carbon (i.e. TCO2), alkalinity, Th-234, POC, Chla, PAM, HPLC, Nd, Po-210/Pb-210, bacteria, O-18, caesium, and Teflon pollutants, using a 24 bottle rosette sampler. Full depth current profiles were collected by an LADCP attached to the CTD package. Upper water column current profile data were collected by a ship mounted ADCP. Meteorological and water property data were collected by the array of ship's underway sensors. 8 Argo floats were also deployed (Table 13) on the transit from Hobart to Casey. The data set contains CTD dbar data and Niskin bottle data (i.e. core hydrochemistry only - salinity, dissolved oxygen and nutrients). A detailed data report is included, with a description of the data and important data quality information.
Research Data Australia110
Environmental Research Laboratories programs and plans : 1979/1980 Programs & plans : FY 1979 programs - FY 1980 plans
The National Oceanic and Atmospheric Administration (NOAA) was formed in 1970 by bringing together environmentally oriented agencies from the Departments of Commerce, Interior, Transportation, Navy, Army, and the National Science Foundation. NOAA's goal is to improve understanding and use of the physical environment. The Environmental Research Laboratories (ERL), under NOAA's Research and Development, is headquartered in Boulder, Colorado. Other facilities are located around the country. The laboratories conduct an integrated program of research, fundamental technology development, and services. The program includes the oceans and Great Lakes, the lower and upper atmosphere, and the solar-terrestrial environment
NOAA Institutional Repository2023-10-02 更新50
杭州市各用户对环境监测服务需求量数据
通过收集和分析杭州市用户对环境监测服务的消费相关数据,了解用户对环境监测服务的购买力水平和消费偏好，从而了解该服务是否畅销，从而为本行业的所有用户制定服务策略，更好地为用户提供个性化的商品和服务。帮助公司更好地理解用户，高等级用户可每月1至2次与用户沟通，中等级可每季度1至2次与用户沟通，低等级用户可每半年1至2次与用户沟通，从而制定更精准的生产营销策略。1.数据采集：采集各个季度杭州市各用户对环境监测服务的相关交易数据。2.数据处理：对采集到数据进行分类、合并、累加，便于分析使用。3.算法加工：将处理后的数据进行需求量分析：需求指数P={a1（单笔最少订单数量）/b1（单笔最少消费额度）+a2（单笔最高订单数量）/b2（单笔最高消费额度）}*k，k为消费系数，用户区域归属于于市区内则k值为0.8，用户归属于于市区外则k值为0.9。4、数据分类分级：根据计算出的需求指数，将用户等级划分为“高、中、低”不同的类别和级别（10分以上标记为“高等级”，7.5-10分区间内标记为“中等级”，7.5分以下标记为“低等级”）。
浙江省数据知识产权登记平台2025-12-09 更新170
