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Machine learning has great potential to increase crop production and resilience to climate change. Accurate maps of where crops are grown are a key input to a number of downstream policy and research applications. In this proposal, we…

Boulders form from a variety of geological processes, which their size, shape, and orientation may help us better understand. Furthermore, they represent potential hazards to spacecraft landing that need to be characterized. However,…

To ensure an efficient and environmentally friendly water resource management, water management associations need means for efficient water monitoring as well as novel strategies to reduce the pollution of surface and ground water.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-30 Sebastian Drost , Arne Vogt , Christian Danowski-Buhren , Simon Jirka , Verena Kirstein , Kian Pakzad , Matthes Rieke

Terrain modeling has traditionally relied on procedural techniques, which often require extensive domain expertise and handcrafted rules. In this paper, we present MESA - a novel data-centric alternative by training a diffusion model on…

Graphics · Computer Science 2025-04-15 Paul Borne--Pons , Mikolaj Czerkawski , Rosalie Martin , Romain Rouffet

Mitigating methane emissions is the fastest way to stop global warming in the short-term and buy humanity time to decarbonise. Despite the demonstrated ability of remote sensing instruments to detect methane plumes, no system has been…

This chapter describes how astronomical imaging survey data have become a vital part of modern astronomy, how these data are archived and then served to the astronomical community through on-line data access portals. The Virtual…

Instrumentation and Methods for Astrophysics · Physics 2015-03-17 Daniel S. Katz , G. Bruce Berriman , Robert G. Mann

Methane is one of the most potent greenhouse gases, and its short atmospheric half-life makes it a prime target to rapidly curb global warming. However, current methane emission monitoring techniques primarily rely on approximate emission…

Geophysics · Physics 2023-08-23 Bertrand Rouet-Leduc , Thomas Kerdreux , Alexandre Tuel , Claudia Hulbert

Efficient use of cultivated areas is a necessary factor for sustainable development of agriculture and ensuring food security. Along with the rapid development of satellite technologies in developed countries, new methods are being searched…

Machine Learning · Computer Science 2025-02-10 Artughrul Gayibov

One of the promising applications of satellite images is building construction monitoring. It allows to control the construction progress around the world even in the locations that are hard to reach. One of the main hurdles of this…

Computer Vision and Pattern Recognition · Computer Science 2022-10-03 Insaf Ashrapov , Dmitriy Malakhov , Anton Marchenkov , Anton Lulin , Dani El-Ayyass

The determination of horizontal velocity fields at the solar surface is crucial to understanding the dynamics and magnetism of the convection zone of the sun. These measurements can be done by tracking granules. Tracking granules from…

Astrophysics · Physics 2009-11-13 R. Tkaczuk , M. Rieutord , N. Meunier , T. Roudier

Acquiring information on large areas on the earth's surface through satellite cameras allows us to see much more than we can see while standing on the ground. This assists us in detecting and monitoring the physical characteristics of an…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Aditya Kumar Singh , B. Uma Shankar

In this study, a method will be developed and applied for estimating biological migration parameters of the biomass of a fishery resource by means of a decision analysis of the spatial behavior of the fleet. First, a model of discrete…

General Economics · Economics 2018-12-20 Hugo Salgado , Ariel Soto-Caro

The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit and, ideally, highly resolved information is required to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Nico Lang , Walter Jetz , Konrad Schindler , Jan Dirk Wegner

High resolution crop type maps are an important tool for improving food security, and remote sensing is increasingly used to create such maps in regions that possess ground truth labels for model training. However, these labels are absent…

Image and Video Processing · Electrical Eng. & Systems 2021-12-08 Stefania Di Tommaso , Sherrie Wang , David B. Lobell

This work proposes SAMSelect, an algorithm to obtain a salient three-channel visualization for multispectral images. We develop SAMSelect and show its use for marine scientists visually interpreting floating marine debris in Sentinel-2…

Computer Vision and Pattern Recognition · Computer Science 2025-06-11 Joost van Dalen , Yuki M. Asano , Marc Russwurm

The main goal of this work is the analysis of new approaches to the study of the properties of astronomical sites. In particular, satellite data measuring aerosols have recently been proposed as a useful technique for site characterization…

Astrophysics · Physics 2008-10-07 A. M. Varela , C. Bertolin , C. Muñoz-Tuñón , S. Ortolani , J. J. Fuensalida

The traditional celestial navigation system (CNS) is used the moon, stars, and planets as celestial guides. Then the star tracker (i.e. track one star or planet or angle between it) and star sensor (i.e. sense many star simultaneous) be…

General Physics · Physics 2011-02-07 Jiang Dong

Fish products account for about 16 percent of the human diet worldwide, as of 2017. The counting action is a significant component in growing and producing these products. Growers must count the fish accurately, to do so technological…

Computer Vision and Pattern Recognition · Computer Science 2022-09-14 Chen Rothschild

Satellite remote sensing has been widely used in the last decades for agricultural applications, {both for assessing vegetation condition and for subsequent yield prediction.} Existing remote sensing-based methods to estimate gross primary…

Computer Vision and Pattern Recognition · Computer Science 2020-12-23 Aleksandra Wolanin , Gustau Camps-Valls , Luis Gómez-Chova , Gonzalo Mateo-García , Christiaan van der Tol , Yongguang Zhang , Luis Guanter

The increasing population, thus financial interests, in coastal areas have increased the need to monitor coastal elevation and shoreline change. Though several resources exist to obtain this information, they often lack the required…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 José A. Pilartes-Congo , Matthew Kastl , Michael J. Starek , Marina Vicens-Miquel , Philippe Tissot