Results 31 to 40 of about 13,124 (213)

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

APPLICATION OF PHOTO-INTERPRETATION AND REMOTE SENSING TECHNICS FOR GEOLOGICAL MAPPING – CASE OF THE REGION OF ZAGORA, MOROCCO [PDF]

Romanian Journal of Petroleum & Gas Technology
The current era of digital technology has opened up endless possibilities for exploring and understanding our world. Among these advances, Geographic Information Systems (GIS) and remote sensing have revolutionized our ability to study and interpret ...
Emmanuel Biba Kalengo, Arice Ingrid Sogui, Ilias Kacimi, Divin Kuniema, Boniface Lumpungu   +4 more
doaj   +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

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

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

Pemetaan Tingkat Keparahan Area Kebakaran Hutan di Gunung Lawu Menggunakan Citra Landsat 9

Journal of Geospatial Information Science and Engineering
Kebakaran hutan merupakan salah satu permasalahan yang sering terjadi di Indonesia dan memberikan dampak signifikan terhadap lingkungan, ekosistem, serta kehidupan masyarakat sekitar. Pada tahun 2023, total luas lahan yang terbakar akibat kebakaran hutan
Rachmanita Isna Salsabella, Erlyna Nour Arrofiqoh   +1 more
doaj   +1 more source

Climate‐driven resource availability drives medium‐ and broad‐scale temporal changes in owl–prey interactions over 24 years in a semi‐arid ecosystem

Ecography, EarlyView.
Predator–prey interactions are vital to ecosystem functioning but may be disrupted by climate change. We investigated a food‐web network involving three owl species over 24 years in a semi‐arid ecosystem at Bosque Fray Jorge National Park, Chile.
Jazmin M. Quiroz‐Calizaya, Adriana Lozada, Douglas A. Kelt, Alejandra J. Troncoso, Peter L. Meserve, M. Andrea Previtali, W. Bryan Milstead, Julio R. Gutiérrez, Craig Weideman, Nicolas Gouin, Tyler R. Kartzinel, Karin Maldonado, Angéline Bertin   +12 more
wiley   +1 more source