Characterisation of macrophyte phenology in the Donana marshland using MODIS NDVI time series from 2000 to 2015

被引:0
|
作者
Fernandez-Carrillo, A. [1 ]
Rodriguez-Galiano, V. F. [1 ,2 ]
Sanchez-Rodriguez, E. [1 ]
机构
[1] Univ Seville, Phys Geog & Reg Geog Anal, Seville 41004, Spain
[2] Univ Southampton, Global Environm Change & Earth Observat Res Grp, Geog & Environm, Southampton SO17 1BJ, Hants, England
关键词
Macrophytes; marshland; NDVI; precipitation; ecosystem functioning; ECOSYSTEM FUNCTIONAL TYPES; INDEX;
D O I
10.1117/12.2278251
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The study of the interaction between vegetation development and climate factors is paramount for the management of protected natural areas. Data provided by remote-sensing satellites and derivative products, such as vegetation indices, permit the extraction of basic information regarding the functioning of vegetation masses and their interaction with certain environmental factors. This paper carries out an approach regarding the behaviour of radiation intercepted by aquatic macrophytes present in the Donana National Park marshland, represented by the plant association Bolboschoenetum maritimi. Based on MODIS NDVI (Normalised Difference Vegetation Index) data, the temporal dynamics of these vegetation masses were studied over a 16-year period (2000-2015), as was their typical annual behaviour, thereby deriving different indicators for seasonal dynamics (NDVI-I, RREL, MAX, MIN, MMAX and MMIN), which help to understand the basic functional characteristics for this type of vegetation. Afterwards, different regression analyses were performed between precipitation and the indicators derived from the NDVI time series. The obtained results indicated that the examined association has a strong dependence on the marshland's flooding processes, requiring a minimum annual precipitation volume (350 mm/year) for proper flooding and vegetation growth development. Furthermore, a strong correlation (r(2)= 0.70; p< 0.05) was found between seasonal nature of the vegetation masses, measured via RREL, and precipitation, as well as slightly weaker relationships between precipitation and other indicators, such as the maximum and minimum annual NDVI (r(2)= 0.43 and r(2)= 0.61; p< 0.05 and p< 0.05, respectively).
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Detecting Clear-Cuts and Decreases in Forest Vitality Using MODIS NDVI Time Series
    Lambert, Jonas
    Denux, Jean-Philippe
    Verbesselt, Jan
    Balent, Gerard
    Cheret, Veronique
    [J]. REMOTE SENSING, 2015, 7 (04) : 3588 - 3612
  • [42] Extraction of agricultural phenological parameters of Sri Lanka using MODIS, NDVI time series data
    Jayawardhana, W. G. N. N.
    Chathurange, V. M. I.
    [J]. INTERNATIONAL CONFERENCE OF SABARAGAMUWA UNIVERSITY OF SRI LANKA 2015 (ICSUSL 2015), 2016, 6 : 235 - 241
  • [43] Cropland area estimates using Modis NDVI time series in the state of Mato Grosso, Brazil
    Victoria, Daniel de Castro
    da Paz, Adriano Rolim
    Coutinho, Alexandre Camargo
    Kastens, Jude
    Brown, J. Christopher
    [J]. PESQUISA AGROPECUARIA BRASILEIRA, 2012, 47 (09) : 1270 - 1278
  • [44] DETECTING BEETLE INFESTATIONS IN PINE FORESTS USING MODIS NDVI TIME-SERIES DATA
    Anees, Asim
    Olivier, J. C.
    O'Rielly, Malgorzata
    Aryal, Jagannath
    [J]. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 3329 - 3332
  • [45] Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data
    Pan, Zhuokun
    Huang, Jingfeng
    Zhou, Qingbo
    Wang, Limin
    Cheng, Yongxiang
    Zhang, Hankui
    Blackburn, George Alan
    Yan, Jing
    Liu, Jianhong
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 34 : 188 - 197
  • [46] Monitoring Urban Expansion (2000-2020) in Yangtze River Delta Using Time-Series Nighttime Light Data and MODIS NDVI
    Zou, Yanhong
    Shen, Jingya
    Chen, Yuying
    Zhang, Baoyi
    [J]. SUSTAINABILITY, 2023, 15 (12)
  • [47] Detection of Vegetation Cover Change in Renewable Energy Development Zones of Southern California Using MODIS NDVI Time Series Analysis, 2000 to 2018
    Nghiem, Justin
    Potter, Christopher
    Baiman, Rebecca
    [J]. ENVIRONMENTS, 2019, 6 (04):
  • [48] Time series of vegetation indices (NDVI and EVI) from MODIS for detecting deforestation in the Cerrado biome
    Bayma, Adriana Panhol
    Sano, Edson Eyji
    [J]. BOLETIM DE CIENCIAS GEODESICAS, 2015, 21 (04): : 797 - 813
  • [49] Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation
    Chen, Hao
    Liu, Xiangnan
    Ding, Chao
    Huang, Fang
    [J]. SENSORS, 2018, 18 (11)
  • [50] A land surface phenology assessment of the northern polar regions using MODIS reflectance time series
    de Beurs, K. M.
    Henebry, G. M.
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2010, 36 : S87 - S110