Showing 21 - 40 results of 395 for search '"water landing"', query time: 0.43s Refine Results
  1. 21
  2. 22

    Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features by Qingxia Meng, Xianbin Wen, Liming Yuan, Haixia Xu

    Published 2019-01-01
    “…The experimental results demonstrate the proposed algorithm is effective for water/land segmentation in SAR images.…”
    Get full text
    Article
  3. 23

    Optimized Resource Allocation for Sustainable Development in Beijing: Integrating Water, Land, Energy, and Carbon Nexus by Yanning Gao, Xiaowen Shi, Haozhe Zhang, Renwu Tang

    Published 2024-10-01
    “…The model targets environmental, economic, and social goals by establishing a water–land–energy–carbon (WLEC) nexus for analyzing resource allocation strategies and carbon reduction pathways under various constraints. …”
    Get full text
    Article
  4. 24
  5. 25
  6. 26

    EVALUATING DIFFERENT WATER-LAND-BOUNDARY APPROXIMATIONS TO IMPROVE SAR-DERIVED DIGITAL ELEVATION MODELS by B. Schneider, E. Wortmeyer, S. Schmitz, S. Schmitz, A. Thiele, A. Thiele, P. Havel, H. Dirks

    Published 2021-06-01
    “…As part of the project, this paper focuses on the suitability of F-SAR data regarding the derivation of water-land-boundaries (WLBs). Therefore, water-land-boundaries based on independent data sets are compared and evaluated. …”
    Get full text
    Article
  7. 27
  8. 28
  9. 29
  10. 30
  11. 31

    Optimal decision-making in the water, land and food nexus using artificial intelligence and extreme machine learning by Wei Shao, Yihang Ding, Jinghao Wen, Pengxu Zhu, Lisong Ou

    Published 2023-10-01
    “…The development of decision-making systems based on artificial intelligence can lead to achieving optimal solutions water-land-food nexus. In this paper, an extreme learning machine model was developed with the objective function of wheat production maximization. …”
    Get full text
    Article
  12. 32
  13. 33

    Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays by Melissa Schiele, J. Marcus Rowcliffe, Ben Clark, Paul Lepper, Tom B. Letessier

    Published 2024-06-01
    “…We used a novel long‐range water‐landing fixed‐wing unoccupied aerial vehicle (UAV) to survey the distribution and density of sharks, rays and any additional megafauna, on and around tropical coral islands (n = 14) in the Chagos Archipelago Marine Protected Area. …”
    Get full text
    Article
  14. 34
  15. 35
  16. 36
  17. 37

    The Paris pledges and the energy-water-land nexus in Latin America: Exploring implications of greenhouse gas emission reductions. by Silvia R Santos Da Silva, Fernando Miralles-Wilhelm, Raul Muñoz-Castillo, Leon E Clarke, Caleb J Braun, Alison Delgado, James A Edmonds, Mohamad Hejazi, Jill Horing, Russell Horowitz, Page Kyle, Robert Link, Pralit Patel, Sean Turner, Haewon C McJeon

    Published 2019-01-01
    “…Nevertheless, a gap in the literature exists regarding the understanding of implications of the NDCs on countries' Energy-Water-Land nexus resource systems. The present paper explores this angle within the regional context of Latin America by employing the Global Change Assessment Model, a state-of-the-art integrated assessment model capable of representing key system-wide interactions among nexus sectors and mitigation policies. …”
    Get full text
    Article
  18. 38
  19. 39
  20. 40

    Additive interaction between heterogeneous environmental quality domains (air, water, land, sociodemographic and built environment) on preterm birth by Shannon Grabich, Kristen Rappazzo, Christine Gray, Christine Gray, Jyotsna S. Jagai, Yun Jian, Lynne Messer, Danelle T Lobdell

    Published 2016-10-01
    “…We address this gap by conducting a county-level cross-sectional analysis of interactions between Environmental Quality Index (EQI) domain indices on preterm birth in the Unites States from 2000-2005.METHODS: The EQI, a county-level index constructed for the 2000-2005 time period, was constructed from five domain-specific indices (air, water, land, built and sociodemographic) using principal component analyses. …”
    Get full text
    Article