Results 31 to 40 of about 107,108 (274)

River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The Landsat mission has kept an eye on our planet, including water bodies, for 50 years. With the launch of Landsat-9 and its onboard Operational Land Imager 2 (OLI-2) in September 2021, more subtle variations in brightness (14-bit dynamic range) can be ...
Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo   +2 more
doaj   +1 more source

Remotely sensed mid-channel bar dynamics in downstream of the Three Gorges Dam, China [PDF]

, 2020
The downstream reach of the Three Gorges Dam (TGD) along the Yangtze River (1560 km) hosts numerous mid-channel bars (MCBs). MCBs dynamics are crucial to the river’s hydrological processes and local ecological function.
Shao, Guofan, Wen, Zhaofei, Wu, Shengjun, Yang, Hong, Zhang, Ce   +4 more
core   +1 more source

From imagery to ecology: Leveraging time series of all available Landsat observations to map and monitor ecosystem state and dynamics [PDF]

, 2016
https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.24Published ...
Holden, C. E., Kaufman, L., Pasquarella, V. J., Woodcock, C. E.   +3 more
core   +1 more source

Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation [PDF]

, 2019
In recent years, many spatial and temporal satellite image fusion (STIF) methods have been developed to solve the problems of trade-off between spatial and temporal resolution of satellite sensors.
Chen, Xiuwan, Im, Jungho, Ke, Yinghai, Liu, Maolin, Yin, Qi   +4 more
core   +1 more source

Estimation of Suspended Particulate Matter Using Landsat 9 Imagery: Generating Algorithms and Spatio-Temporal Distributions

Ilmu Kelautan
The fluctuation of suspended particulate matter (SPM) is essential to the biogeochemical cycle and ecological health of coastal waters. Anthropogenic activities potentially trigger an increase in SPM, so it needs to be monitored continuously. Spatial and
Lilik Maslukah, M. Firouz Dimas Sadewo, Baskoro Rochaddi, Sugeng Widada, Anindya Wirasatriya, Ulung Jantama Wisha   +5 more
doaj   +1 more source

Recipes for the Derivation of Water Quality Parameters Using the High-Spatial-Resolution Data from Sensors on Board Sentinel-2A, Sentinel-2B, Landsat-5, Landsat-7, Landsat-8, and Landsat-9 Satellites

Journal of Remote Sensing, 2023
Satellites have provided high-resolution ( < 100 m) water color (i.e., remote sensing reflectance) and thermal emission imagery of aquatic environments since the early 1980s; however, global operational water quality products based on these data are not readily available (e.g., temperature, chlorophyll-
Tavora, J., Jiang, Binbin, Kiffney, Thomas, Bourdin, Guillaume, Clifton Gray, Patrick, Sander de Carvalho, Lino, Hesketh, Gabriel, M. Schild, Kristin, Faria de Souza, Luiz, C. Brady, Damian, Boss, Emmanuel   +10 more
openaire   +2 more sources

Landsat 9 Thermal Infrared Sensor 2 Preliminary Stray Light Assessment [PDF]

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Although the Thermal Infrared Sensor 2 (TIRS-2) is a near-identical copy of the Landsat 8/TIRS-1 instrument, an important design change to the optical system was designed to mitigate the stray light issue that plagued the TIRS-1 instrument [1] 2, 3]. This change involved the addition of several baffles strategically placed within the optical telescope ...
Matthew Montanaro, Joel McCorkel, June Tveekrem, John Stauder, Allen Lunsford, Eric Mentzell, Jason Hair, Dennis Reuter   +7 more
openaire   +1 more source

Crop Classification Based on the Fusion of GF-1 and Landsat 9 Satellite Images

Taiyuan Ligong Daxue xuebao
Purposes In this study, the possibility of improving classification accuracy for crop type identification is examined with data fusion technology. Methods The GF-1 and Landsat 9 images were used to perform data fusion for crop type classification in ...
ZENG Weili, SU Qiaomei, FAN Jinlong, PAN Rong, LIAO Yuejiao, SONG Ying   +5 more
doaj   +1 more source

Spatio-Temporal Modeling of Land-Use/Land-Cover Change and Land Surface Temperature Using SVM and CA-Markov in Dilla Town, Ethiopia. [PDF]

Glob Chall
Multi‐temporal Landsat imagery (2001, 2011, 2021) was used to map land use/land cover and retrieve land surface temperature, quantify change, and model future scenarios. Results indicate rapid expansion of built‐up land accompanied by declining mixed forest and cropland and increasing thermal hotspots.
Kebede TA, Gebremariam WH, Bogale HY, Reda TM, Jothimani M.   +4 more
europepmc   +2 more sources

A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]

, 2019
The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
core   +1 more source