Results 111 to 120 of about 4,767,349 (290)

Low Participation and Risk Reduction Potential of Supplemental Crop Insurance in the United States

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Federally subsidized crop insurance is a cornerstone of U.S. farm risk management, yet policies with the greatest share of participation only trigger indemnities after losses exceed 15%. Supplemental insurance was introduced to cover part of this deductible, but participation remains largely unchanged.
Francis Tsiboe   +2 more
wiley   +1 more source

Exploring Distributed Scatterers Interferometric Synthetic Aperture Radar Attributes for Synthetic Aperture Radar Image Classification

open access: yesRemote Sensing
Land cover classification of Synthetic Aperture Radar (SAR) imagery is a significant research direction in SAR image interpretation. However, due to the unique imaging methodology of SAR, interpreting SAR images presents numerous challenges, and land ...
Mingxuan Wei   +3 more
doaj   +1 more source

An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas [PDF]

open access: yes, 2006
Classifying the complex structures of urban morphology from high resolution remote sensing imagery comprises difficulties due to their spectral and spatial heterogeneity.
Taubenböck, Hannes   +2 more
core  

Assessing Government Subsidies for Reducing Pesticide Use: A Meta‐Analysis

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT In the efforts being made by governments to reduce pesticide use, subsidies are an important instrument to encourage farmers to adopt more sustainable practices. Yet, their effectiveness remains uncertain due to diverse designs and contexts.
Gaëlle Leduc   +3 more
wiley   +1 more source

A Framework for Fine-Grained Land-Cover Classification Using 10 m Sentinel-2 Images

open access: yesRemote Sensing
Land-cover mapping plays a crucial role in resource detection, ecological environmental protection, and sustainable development planning. The existing large-scale land-cover products with coarse spatial resolution have a wide range of categories, but ...
Wenge Zhang   +4 more
doaj   +1 more source

Land Use and Land Cover Classification Meets Deep Learning: A Review. [PDF]

open access: yesSensors (Basel), 2023
Zhao S, Tu K, Ye S, Tang H, Hu Y, Xie C.
europepmc   +1 more source

Ex‐Ante Assessment of Farm Resilience to Institutional Shocks: A Modeling Approach

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Using the agent‐based model SWISSland, we simulate farm‐level responses and interactions under two institutional shocks: tariff reductions and direct payment reductions. Using a framework we developed, we assess resilience capacities, resilience attributes, and the provision of private and public goods, following the shock.
Nadja El Benni, Gabriele Mack
wiley   +1 more source

Complementary or Competitive? Emerging Interactions Between Restoration and Protection in the Conservation Reserve Program

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The USDA's Conservation Reserve Program (CRP) delivers environmental benefits to society by enrolling cropland and grasslands to reestablish or safeguard long‐term vegetative cover. In recent years, the CRP has dramatically increased grassland enrollment while cropland enrollment has been in steady decline. This paper uses descriptive analysis,
Wesley Zebrowski   +2 more
wiley   +1 more source

The Effect of SNAP Purchasing Power on Diet Quality

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Supplemental Nutrition Assistance Program (SNAP) benefits millions of eligible low‐income Americans by increasing access to food, helping to reduce food insecurity. Previous studies have documented that the geographical variation in local food prices leads to significant differences in SNAP's purchasing power.
Farah Khan, Augustine Denteh
wiley   +1 more source

Machine Learning for Global Bioclimatic Classification: Enhancing Land Cover Prediction through Random Forests

open access: yesAtmosphere
Traditional bioclimatic classification schemes have several inherent shortcomings; they do not represent anthropogenic impact, they contain a bias for global north representation, and they lack flexibility regarding novel climates that may arise due to ...
Morgan Sparey   +2 more
doaj   +1 more source

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