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Identifying terrain within satellite image data is a key issue in geographical information sciences, with numerous environmental and safety implications. Many techniques exist to derive classifications from spectral data captured by…

计算机视觉与模式识别 · 计算机科学 2024-09-02 David R. Treadwell , Derek Jacoby , Will Parkinson , Bruce Maxwell , Yvonne Coady

Climate change in India is one of the most alarming problems faced by our community. Due to adverse and sudden changes in climate in past few years, mankind is at threat. Various impacts of climate change include extreme heat, changing…

应用统计 · 统计学 2022-01-26 Rutvij Wamanse , Tushuli Patil

Ambient air pollution remains a critical issue in the United Kingdom, where data on air pollution concentrations form the foundation for interventions aimed at improving air quality. However, the current air pollution monitoring station…

应用统计 · 统计学 2024-01-18 Liam J Berrisford , Lucy S Neal , Helen J Buttery , Benjamin R Evans , Ronaldo Menezes

Small farms contribute to a large share of the productive land in developing countries. In regions such as sub-Saharan Africa, where 80\% of farms are small (under 2 ha in size), the task of mapping smallholder cropland is an important part…

计算机视觉与模式识别 · 计算机科学 2024-03-07 Jonathan Xu , Amna Elmustafa , Liya Weldegebriel , Emnet Negash , Richard Lee , Chenlin Meng , Stefano Ermon , David Lobell

Accuracy of crop price forecasting techniques is important because it enables the supply chain planners and government bodies to take appropriate actions by estimating market factors such as demand and supply. In emerging economies such as…

应用统计 · 统计学 2020-09-10 Ayush Jain , Smit Marvaniya , Shantanu Godbole , Vitobha Munigala

Agrivoltaic systems are becoming more popular as a critical technology for attaining several sustainable development goals such as affordable and clean energy, zero hunger, clean water and sanitation, and climate action. However,…

Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet. Even though Egypt is the highest rice producer in Africa with a share of 6 million tons per year, it still imports rice to satisfy its…

计算机视觉与模式识别 · 计算机科学 2023-09-13 Yara Ali Alnaggar , Ahmad Sebaq , Karim Amer , ElSayed Naeem , Mohamed Elhelw

High-resolution soil moisture (SM) observations are critical for agricultural monitoring, forestry management, and hazard prediction, yet current satellite passive microwave missions cannot directly provide retrievals at tens-of-meter…

信号处理 · 电气工程与系统科学 2026-01-27 Runze Zhang , Ishfaq Aziz , Derek Houtz , Yuxiang Zhao , Trent W. Ford , Adam C. Watts , Mohamad Alipour

In developing countries like India agriculture plays an extremely important role in the lives of the population. In India, around 80\% of the population depend on agriculture or its by-products as the primary means for employment. Given…

计算机与社会 · 计算机科学 2019-06-19 Gautam Prasad , Upendra Reddy Vuyyuru , Mithun Das Gupta

As the global population continues to expand, the demand for natural resources increases. Unfortunately, human activities account for 23% of greenhouse gas emissions. On a positive note, remote sensing technologies have emerged as a…

计算机视觉与模式识别 · 计算机科学 2024-01-08 Suman Kunwar , Jannatul Ferdush

Massive amounts of satellite data have been gathered over time, holding the potential to unveil a spatiotemporal chronicle of the surface of Earth. These data allow scientists to investigate various important issues, such as land use…

计算机视觉与模式识别 · 计算机科学 2019-12-12 Stefan Oehmcke , Christoffer Thrysøe , Andreas Borgstad , Marcos Antonio Vaz Salles , Martin Brandt , Fabian Gieseke

Accurate and timely crop mapping is essential for yield estimation, insurance claims, and conservation efforts. Over the years, many successful machine learning models for crop mapping have been developed that use just the multi-spectral…

计算机视觉与模式识别 · 计算机科学 2024-01-30 Praveen Ravirathinam , Rahul Ghosh , Ankush Khandelwal , Xiaowei Jia , David Mulla , Vipin Kumar

The EcoCropsAID dataset is a comprehensive collection of 5,400 aerial images captured between 2014 and 2018 using the Google Earth application. This dataset focuses on five key economic crops in Thailand: rice, sugarcane, cassava, rubber,…

计算机视觉与模式识别 · 计算机科学 2024-11-06 Sangdaow Noppitak , Emmanuel Okafor , Olarik Surinta

Rapid identification and response to breaking events, particularly those that pose a threat to human life such as natural disasters or conflicts, is of paramount importance. The prevalence of mobile devices and the ubiquity of network…

计算机视觉与模式识别 · 计算机科学 2024-01-22 Ekin Ugurel , Steffen Coenen , Minda Zhou Chen , Cynthia Chen

In recent years, the world has become increasingly concerned with air pollution. Particularly in the global north, countries are implementing systems to monitor air pollution on a large scale to aid decision-making. Such efforts are…

物理与社会 · 物理学 2024-02-20 Liam J Berrisford , Eraldo Ribeiro , Ronaldo Menezes

Coal mines are globally an important source of methane and also one of the largest point sources of methane. We present a high-resolution 0.1deg x 0.1deg bottom-up gridded emission inventory for methane emissions from coal mines in India…

Crop diseases significantly affect the quantity and quality of agricultural production. In a context where the goal of precision agriculture is to minimize or even avoid the use of pesticides, weather and remote sensing data with deep…

计算机视觉与模式识别 · 计算机科学 2023-10-04 William Maillet , Maryam Ouhami , Adel Hafiane

With climate change threatening agricultural productivity and global food demand increasing, it is important to better understand which farm management practices will maximize crop yields in various climatic conditions. To assess the…

应用统计 · 统计学 2022-04-12 Dan M. Kluger , Art B. Owen , David B. Lobell

The proliferation of software and AI comes with a hidden risk: its growing energy and carbon footprint. As concerns regarding environmental sustainability come to the forefront, understanding and optimizing how software impacts the…

Understanding the suitability of agricultural land for applying specific management practices is of great importance for sustainable and resilient agriculture against climate change. Recent developments in the field of causal machine…