Hypertemporal image analysis for crop mapping and change detection

C. A. D eBie, Mobushir R. Khan, A. G. Toxopeus, V. Venus, A. K. Skidmore

Research output: Book chapter/Published conference paperConference paperpeer-review

11 Citations (Scopus)

Abstract

Many authors explored the use of multi-temporal images, recorded within a season or across years, for (i) ecosystem monitoring, (ii) land cover (crop) identification, and (iii) change detection (Copin et.al, 2004). Temporary trajectory analysis, drawing on time-profile-based data originating from a large number of observation dates, has mainly been done through threshold-based methods, compositing-algorithms, or Fourier series approximation. This paper presents findings of a multivariate change detection method that processes the full dimensionality (spectral and temporal) of 10-day composite (1998-onwards) 1-km resolution SPOT-Vegetation NDVI images. Using the ISODATA clustering algorithm of Erdas-Imagine software and all available NDVI image data layers, unsupervised classification runs were carried out. These produced minimum- and average-divergence statistical indicators that in turn were used to identify the optimum number of classes that best suited the data put to the unsupervised classification algorithm. The selected classified map is linked to a set of time-profile-based signatures (profiles) that form the map legend. Studies were carried out for (i) Portugal to identify the extend and nature of land cover units, (ii) the Limpopo valley, Mozambique to map gradients, (iii) the Limpopo valley, Mozambique, to monitor flooded areas, (iv) Garmsar, Iran, to detect spatial differences in water availability, (v) Nizamabad, India, to link NDVI profiles to land use classes and (vi) Andalucía, Spain to disaggregate reported agricultural crop statistics to 1x1km pixel crop maps. Results compose of statistical findings underpinning the method, maps showing the spatial-temporal characteristics of the findings, and the applicability of the method for the studied topics.

Original languageEnglish
Title of host publicationHypertemporal image analysis for crop mapping and change detection
Pages803-814
Number of pages12
Volume37
Publication statusPublished - 2008
Event21st Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2008 - Beijing, China
Duration: 03 Jul 200811 Jul 2008

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherInternational Society for Photogrammetry and Remote Sensing
ISSN (Print)1682-1750

Conference

Conference21st Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2008
Country/TerritoryChina
CityBeijing
Period03/07/0811/07/08

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