Normalized Difference Vegetation Index Determination in Urban Areas by Full-Spectrum Photography

被引:4
作者
Paton, Daniel [1 ]
机构
[1] Univ Extremadura, Fac Sci, Ecol Unit, Avda Elvas S-N, 06071 Badajoz, Spain
来源
ECOLOGIES | 2020年 / 1卷 / 01期
关键词
NDVI; full-spectrum photography; urban ecology; DIGITAL CAMERA; NDVI; RICHNESS; MODEL; IMAGE;
D O I
10.3390/ecologies1010004
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
(1) Background: The NDVI (Normalized Difference Vegetation Index) is a basic indicator of photosynthetic activity frequently employed in landscape and urban ecology. However, the high-resolution determination of NDVI requires an expensive multi-spectral digital camera. (2) Methods: In the present work, we are developing a general procedure that converts a Nikon D50 into a full-spectrum camera. We also use a red Hoya A25 filter to separate red (R) and infrared (NIR) radiations. Afterward, we calibrate the camera using the reflectance information of a Macbeth Color Checker. Additional procedures include a custom white balance (CWB), histogram equalization and exposure control. (3) Results: Our results indicate high correlations over 90% for R and NIR channels, which allow us to determine the NDVI with precision. Even it is possible to observe the NDVI differences between soil, water, rocks, algae, lichens, shrubs, grasses and trees in different environmental conditions and (4) Conclusions: The methodology described in this work allows a more economical analysis of high-resolution NDVI in landscape and urban areas adapting a modified camera to airborne or drone systems.
引用
收藏
页码:22 / 35
页数:14
相关论文
共 38 条
  • [1] Geostatistical modelling of regional bird species richness: exploring environmental proxies for conservation purpose
    Bacaro, Giovanni
    Santi, Elisa
    Rocchini, Duccio
    Pezzo, Francesco
    Puglisi, Luca
    Chiarucci, Alessandro
    [J]. BIODIVERSITY AND CONSERVATION, 2011, 20 (08) : 1677 - 1694
  • [2] An overview of recent remote sensing and GIS based research in ecological informatics
    Boyd, D. S.
    Foody, G. M.
    [J]. ECOLOGICAL INFORMATICS, 2011, 6 (01) : 25 - 36
  • [3] HIERARCHICAL PARTITIONING
    CHEVAN, A
    SUTHERLAND, M
    [J]. AMERICAN STATISTICIAN, 1991, 45 (02) : 90 - 96
  • [4] Quantitative approaches for using color infrared photography for assessing in-season nitrogen status in winter wheat
    Flowers, M
    Weisz, R
    Heiniger, R
    [J]. AGRONOMY JOURNAL, 2003, 95 (05) : 1189 - 1200
  • [5] Comparison of vegetation phenological metrics extracted from GIMMS NDVIg and MERIS MTCI data sets over China
    He, Yaqian
    Bo, Yanchen
    de Jong, Rogier
    Li, Aihua
    Zhu, Yuxin
    Cheng, Jiehai
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (01) : 300 - 317
  • [6] Review of optical-based remote sensing for plant trait mapping
    Homolova, Lucie
    Maenovsky, Zbynek
    Clevers, Jan G. P. W.
    Garcia-Santos, Glenda
    Schaeprnan, Michael E.
    [J]. ECOLOGICAL COMPLEXITY, 2013, 15 : 1 - 16
  • [7] An image-based diversity index for assessing land degradation in an and environment in South Australia
    Jafari, R.
    Lewis, M. M.
    Ostendorf, B.
    [J]. JOURNAL OF ARID ENVIRONMENTS, 2008, 72 (07) : 1282 - 1293
  • [8] Jobson J.D., 1992, APPL MULTIVARIATE DA, VII
  • [9] Can Commercial Digital Cameras Be Used as Multispectral Sensors? A Crop Monitoring Test
    Lebourgeois, Valentine
    Begue, Agnes
    Labbe, Sylvain
    Mallavan, Benjamin
    Prevot, Laurent
    Roux, Bruno
    [J]. SENSORS, 2008, 8 (11) : 7300 - 7322
  • [10] Simulation of soil nitrogen storage of the typical steppe with the DNDC model: A case study in Inner Mongolia, China
    Li, R. H.
    Li, X. B.
    Li, G. Q.
    Wen, W. Y.
    [J]. ECOLOGICAL INDICATORS, 2014, 41 : 155 - 164