Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling

被引：10
|
作者：
Rocchini, Duccio [1 ]
机构：
[1] Fdn Edmund Mach, Res & Innovat Ctr, Dept Biodivers & Mol Ecol, GIS & Remote Sensing Unit, I-38010 San Michele All Adige, TN, Italy
来源：
JOURNAL OF VEGETATION SCIENCE | 2013年 / 24卷 / 02期
关键词：
BETA DIVERSITY;
D O I：
10.1111/jvs.12029
中图分类号：
Q94 [植物学];
学科分类号：
071001 ;
摘要：
Remotely-sensed proxies have been acknowledged as powerful tools for estimating species spatial distributions, whatever the taxonomic group being considered. Jiang et al. (2013) provide a robust example of seeing the unseen by remote sensing, predicting the distribution of epiphyllous liverworts from SPOT Vegetation remotely-sensed data.
引用
收藏
页码：209 / 210
页数：2
相关论文
共 50 条
  • [21] Remote sensing - Improved satellite imagery helps scientists study the Earth
    不详
    CIVIL ENGINEERING, 1999, 69 (06): : 26 - 26
  • [22] From Remote Sensing to Species Distribution Modelling: An Integrated Workflow to Monitor Spreading Species in Key Grassland Habitats
    De Simone, Walter
    Allegrezza, Marina
    Frattaroli, Anna Rita
    Montecchiari, Silvia
    Tesei, Giulio
    Zuccarello, Vincenzo
    Di Musciano, Michele
    REMOTE SENSING, 2021, 13 (10)
  • [23] Rarefaction theory applied to satellite imagery for relating spectral and species diversity
    Rocchini, Duccio
    Wohlgemuth, Thomas
    Ricotta, Carlo
    Ghisleni, Sara
    Stefanini, Andrea
    Chiarucci, Alessandro
    RIVISTA ITALIANA DI TELERILEVAMENTO, 2009, 41 (02): : 109 - 123
  • [24] Modelling butterfly distribution based on remote sensing data
    Luoto, M
    Kuussaari, M
    Toivonen, T
    JOURNAL OF BIOGEOGRAPHY, 2002, 29 (08) : 1027 - 1037
  • [25] Remote Sensing and Mapping of Fine Woody Carbon With Satellite Imagery and Super Learner
    Shaik, Riyaaz Uddien
    Alipour, Mohamad
    Rowell, Eric
    Watts, Adam
    Woodall, Christopher
    Taciroglu, Ertugrul
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 22
  • [26] ESTIMATIONS FOR PERCENTAGE OF IMPERVIOUS AREA BY THE USE OF SATELLITE REMOTE-SENSING IMAGERY
    DEGUCHI, C
    SUGIO, S
    WATER SCIENCE AND TECHNOLOGY, 1994, 29 (1-2) : 135 - 144
  • [27] A review of multi-class change detection for satellite remote sensing imagery
    Zhu, Qiqi
    Guo, Xi
    Li, Ziqi
    Li, Deren
    GEO-SPATIAL INFORMATION SCIENCE, 2024, 27 (01) : 1 - 15
  • [28] Remote sensing ancient Maya rural populations using QuickBird satellite imagery
    Garrison, T. G.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (01) : 213 - 231
  • [29] Analysis of the occurrence of American cutaneous leishmaniasis in Brazil by remote sensing satellite imagery
    Miranda, C
    Massa, JL
    Marques, CCA
    REVISTA DE SAUDE PUBLICA, 1996, 30 (05): : 433 - 437
  • [30] Remote sensing satellite imagery and risk management: image based information extraction
    Bitelli, G.
    Gusella, L.
    RISK ANALYSIS VI: SIMULATION AND HAZARD MITIGATION, 2008, : 149 - 158
12345