Results 21 to 30 of about 13,861,689 (336)

HOW LANDSAT 9 IS SUPERIOR TO LANDSAT 8: COMPARATIVE ASSESSMENT OF LAND USE LAND COVER CLASSIFICATION AND LAND SURFACE TEMPERATURE [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
This study aims (i) to analyze the performance of Landsat 8 and 9’s multispectral bands in Land Use Land Cover (LULC) mapping by applying Random Forest (RF) method, and (ii) to compare the LST results of Landsat 8 and 9 using ground-based measurements ...
F. Ghasempour, A. Sekertekin, S. H. Kutoglu   +2 more
doaj   +1 more source

Land Cover Changes Based on Landsat Imagery Interpretation

Jurnal Teknik Pertanian Lampung, 2023
This paper presents the use of satellite data (i.e., Landsat-5 & Landsat-8) to interpret the change of land cover from 1997 to 2020. The study area covers the administrative boundary of Lumajang Regency.
Chairiyah Umi Rahayu, Indarto Indarto, Alfian Wiji Pradiksa, Bayu Taruna Wijaya Putra, Rufiani Nadzirah   +4 more
doaj   +1 more source

Combining RadCalNet Sites for Radiometric Cross Calibration of Landsat 9 and Landsat 8 Operational Land Imagers (OLIs)

Remote Sensing, 2023
Combining images from multiple Earth Observing (EO) satellites increases the temporal resolution of the data, overcoming the limitations imposed by low revisit time and cloud coverage.
Norvik Voskanian, Kurtis Thome, Brian N. Wenny, Mohammad H. Tahersima, Mehran Yarahmadi   +4 more
doaj   +1 more source

Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany

Remote Sensing of Environment, 2022
Monitoring agricultural systems becomes increasingly important in the context of global challenges like climate change, biodiversity loss, population growth, and the rising demand for agricultural products.
Lukas Blickensdörfer, Marcel Schwieder, Dirk Pflugmacher, C. Nendel, S. Erasmi, P. Hostert   +5 more
semanticscholar   +1 more source

ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters

Remote Sensing of Environment, 2021
Atmospheric correction over inland and coastal waters is one of the major remaining challenges in aquatic remote sensing, often hindering the quantitative retrieval of biogeochemical variables and analysis of their spatial and temporal variability within
N. Pahlevan, A. Mangin, S. Balasubramanian, Brandon M. Smith, K. Alikas, K. Arai, C. Barbosa, S. Bélanger, C. Binding, M. Bresciani, C. Giardino, D. Gurlin, Yongzhen Fan, T. Harmel, P. Hunter, Joji Ishikaza, S. Kratzer, M. Lehmann, M. Ligi, Ronghua Ma, F. Martin-Lauzer, L. Olmanson, N. Oppelt, Yanqun Pan, S. Peters, N. Reynaud, Lino A. Sander de Carvalho, S. Simis, E. Spyrakos, F. Steinmetz, K. Stelzer, S. Sterckx, T. Tormos, A. Tyler, Q. Vanhellemont, M. Warren   +35 more
semanticscholar   +1 more source

Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery

ISPRS Int. J. Geo Inf., 2023
Using deep learning semantic segmentation for land use extraction is the most challenging problem in medium spatial resolution imagery. This is because of the deep convolution layer and multiple levels of deep steps of the baseline network, which can ...
Wuttichai Boonpook, Yumin Tan, Attawut Nardkulpat, Kritanai Torsri, Peerapong Torteeka, Patcharin Kamsing, U. Sawangwit, Jose Pena, Montri Jainaen   +8 more
semanticscholar   +1 more source

Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods

Remote Sensing, 2022
Accurate and real-time land use/land cover (LULC) maps are important to provide precise information for dynamic monitoring, planning, and management of the Earth.
V. Nasiri, A. Deljouei, Fardin Moradi, S. M. M. Sadeghi, S. Borz   +4 more
semanticscholar   +1 more source

Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study [PDF]

Isprs Journal of Photogrammetry and Remote Sensing, 2021
Active fire detection in satellite imagery is of critical importance to the management of environmental conservation policies, supporting decision-making and law enforcement.
Gabriel Henrique de Almeida Pereira, A. M. Fusioka, B. Nassu, Rodrigo Minetto   +3 more
semanticscholar   +1 more source

A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023
In this study, the Earth's surface was studied in  Razzaza Lake for 25 years, using remote sensing methods. Images of the satellites Landsat 5 (TM) and 8 (OLI) were used to study and determine the components of the land cover. The study covered the years
Noor S. Ahmed, Hameed M. Abduljabbar
doaj   +1 more source

Monitoring of wetland turbidity using multi-temporal Landsat-8 and Landsat-9 satellite imagery in the Bisalpur wetland, Rajasthan, India.

Environmental Research, 2023
Satellite imagery has emerged as the predominant method for performing spatial and temporal water quality analyses on a global scale. This study employs remote sensing techniques to monitor the water quality of the Bisalpur wetland during both the pre ...
Raj Singh, V. Saritha, C. Pande
semanticscholar   +1 more source