Results 21 to 30 of about 215,270 (307)

GeoAI Dataset for Urbanized Area Segmentation from Landsat 8/9 Satellite Imagery and GEMS [PDF]

Geo Data
In South Korea, air pollution has emerged as a pressing social issue, necessitating data-driven approaches to monitor sources of air pollutants. This study constructed a GEO AI dataset for detecting air pollution sources in urbanized areas, utilizing ...
Sung-Hyun Gong, Hyung-Sup Jung, Geun-Han Kim, Geun-Hyouk Han, Il-Hoon Choi, Jin-Sung Hong   +5 more
doaj   +1 more source

The effects of urban land cover dynamics on urban heat Island intensity and temporal trends

GIScience & Remote Sensing, 2021
Assessments of surface urban heat island (UHI) have focused on using remote sensing and land cover data to quantify UHI intensity and spatial distribution within a certain time period by including land cover information.
George Xian, Hua Shi, Roger Auch, Kevin Gallo, Qiang Zhou, Zhuoting Wu, Michael Kolian   +6 more
doaj   +1 more source

Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data

GIScience & Remote Sensing, 2022
Unmanned aerial vehicle (UAV) and satellite data have considerable complementarity for platform inter-operability, data fusion studies, calibration and validation efforts, and various multiscale analyses.
Jiale Jiang, Kasper Johansen, Yu-Hsuan Tu, Matthew F. McCabe   +3 more
doaj   +1 more source

Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–2017

GIScience & Remote Sensing, 2022
Forest covers about one-third of the land area of the conterminous United States (CONUS) and plays an important role in offsetting carbon emissions and supporting local economies.
Qiang Zhou, George Xian, Josephine Horton, Danika Wellington, Grant Domke, Roger Auch, Congcong Li, Zhe Zhu   +7 more
doaj   +1 more source

A method for monitoring glacial loss and temperature variation using satellite observations: Case study of Pico de Orizaba and Iztaccíhuatl (Mexico)

Arctic, Antarctic, and Alpine Research, 2019
Throughout the world, tropical glaciers are rapidly receding and some are at risk of complete loss within the next several decades. It is therefore important to monitor these glacial regions to better understand the factors affecting glacier loss and ...
Donna Viola, Christopher P. McKay, Rafael Navarro-González   +2 more
doaj   +1 more source

Improved forest cover mapping by harmonizing multiple land cover products over China

GIScience & Remote Sensing, 2022
Fine resolution land cover products are becoming increasingly more available for many regions. These products, however, may not meet the quality requirements of many applications.
Shili Meng, Yong Pang, Chengquan Huang, Zengyuan Li   +3 more
doaj   +1 more source

A Comparison of AVIRIS and Landsat for Land Use Classification at the Urban Fringe

, 2004
In this study we tested whether AVIRIS data allowed for improved land use classification over synthetic Landsat ETM+ data for a location on the urban-rural fringe of Colorado.
Goetz, Alexander F.H., Platt, Rutherford V.   +1 more
core   +1 more source

Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals Across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring [PDF]

, 2019
In urban environments, aerosol distributions may change rapidly due to building and transport infrastructure and human population density variations.
Huang, Haiyan, Li, Zhongbin, Roy, David P., Vermote, Eric, Zhang, Hankui   +4 more
core   +2 more sources

PERBANDINGAN NILAI KLOROFIL-A MENGGUNAKAN CITRA LANDSAT DAN MERIS DI DANAU SENTANI, JAYAPURA

Geoid, 2015
Waduk dan Danau sangat penting dalam turut menciptakan keseimbangan ekologi dan tata air. Dari sudut ekologi, waduk dan danau merupakan ekosistem yang terdiri dari unsur air, kehidupan akuatik, dan daratan yang dipengaruhi tinggi rendahnya muka air ...
Jayeng Rangga Bhirawa, Lalu Muhamad Jaelani   +1 more
doaj   +1 more source

Evaluation of temporal compositing algorithms for annual land cover classification using Landsat time series data

International Journal of Digital Earth, 2023
In this paper, four widely used temporal compositing algorithms, i.e. median, maximum NDVI, medoid, and weighted scoring-based algorithms, were evaluated for annual land cover classification using monthly Landsat time series data.
Xichen Meng, Shuai Xie, Lin Sun, Liangyun Liu, Yilong Han   +4 more
doaj   +1 more source