Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances

Jin, Suming; Sader, Steven A.

doi:10.1016/j.rse.2004.10.012

Cited by 383 publications

(184 citation statements)

References 21 publications

(50 reference statements)

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“…Different vegetation indices relate to different ecologically relevant information, such as above ground biomass, forest density [52], and canopy chlorophyll content [53], and account for particular site-specific conditions [54]. In our comparison of VeRDET's performance across different vegetation indices, the high performance of NDMI may be explained in part by its sensitivity to biomass [45], which may enable it to detect actual disturbances and to track regenerating biomass instead of just initial, rapid regreening from forbs. Cohen [49] also found that tasseled-cap wetness, an index that is informationally similar to NDMI and is believed to provide information on forest structure, performed better than other indices.…”

Section: Discussionmentioning

confidence: 99%

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Patch-Based Forest Change Detection from Landsat Time Series

Hughes

Kaylor

Hayes

2017

Forests

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Abstract:In the species-rich and structurally complex forests of the Eastern United States, disturbance events are often partial and therefore difficult to detect using remote sensing methods. Here we present a set of new algorithms, collectively called Vegetation Regeneration and Disturbance Estimates through Time (VeRDET), which employ a novel patch-based approach to detect periods of vegetation disturbance, stability, and growth from the historical Landsat image records. VeRDET generates a yearly clear-sky composite from satellite imagery, calculates a spectral vegetation index for each pixel in that composite, spatially segments the vegetation index image into patches, temporally divides the time series into differently sloped segments, and then labels those segments as disturbed, stable, or regenerating. Segmentation at both the spatial and temporal steps are performed using total variation regularization, an algorithm originally designed for signal denoising. This study explores VeRDET's effectiveness in detecting forest change using four vegetation indices and two parameters controlling the spatial and temporal scales of segmentation within a calibration region. We then evaluate algorithm effectiveness within a 386,000 km 2 area in the Eastern United States where VeRDET has overall error of 23% and omission error across disturbances ranging from 22% to 78% depending on agent.

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Section: Discussionmentioning

confidence: 99%

“…In this study, we explored the utility of four indices for predicting disturbance events: a rescaled tasseled cap angle (TCA) [42], the normalized difference vegetation index (NDVI) [43], the normalized burn ratio (NBR) [44], and the normalized difference moisture index (NDMI) [45].…”

Section: Calculate Vegetation Indicesmentioning

confidence: 99%

Patch-Based Forest Change Detection from Landsat Time Series

Hughes

Kaylor

Hayes

2017

Forests

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“…Errors were well distributed among classes in the map except that the first three periods, corresponding to the period based upon MSS imagery, had somewhat lower levels of accuracy than other periods. It is possible that the relatively long remeasurement intervals (5, 7, and 4 years) during this period may have led to decreased accuracy; other studies (Healey and others 2005;Jin and Sader 2005;Masek and others 2008) have shown better change detection results with shorter intervals. However, errors were no greater in the longest interval during this period, 1977-1984, than during other periods.…”

Section: Accuracy Of Change Detectionmentioning

confidence: 91%

The Relative Impact of Harvest and Fire upon Landscape-Level Dynamics of Older Forests: Lessons from the Northwest Forest Plan

et al. 2008

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Interest in preserving older forests at the landscape level has increased in many regions, including the Pacific Northwest of the United States. The Northwest Forest Plan (NWFP) of 1994 initiated a significant reduction in the harvesting of older forests on federal land. We used historical satellite imagery to assess the effect of this reduction in relation to: past harvest rates, management of non-federal forests, and the growing role of fire. Harvest rates in non-federal large-diameter forests (LDF) either decreased or remained stable at relatively high rates following the NWFP, meaning that harvest reductions on federal forests, which cover half of the region, resulted in a significant regional drop in the loss of LDF to harvest. However, increased losses of LDF to fire outweighed reductions in LDF harvest across large areas of the region. Elevated fire levels in the western United States have been correlated to changing climatic conditions, and if recent fire patterns persist, preservation of older forests in dry ecosystems will depend upon practical and coordinated fire management across the landscape.

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“…We have elected to focus on several traditional indices (e.g. NDVI) and a number of other, potentially underutilized indices such as NDII and the Tasseled Cap transformation [Jin and Sader, 2005]. Our ongoing work with these analyses is described below.…”

Section: Study Area Data and Methodsmentioning

confidence: 99%

Changes in Climate, Forest Phenology, and Forest Disturbances Around Western Lake Superior

Garcia¹

2017

Proc. Wisc. Space Conf.

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This work proceeds from two hypotheses. First, we can explain much of the observed seasonal and year-to-year variability in forest phenology using weather and climate observations. Seasonal forest phenology is driven by the progress of the warm season: it is observed that frost events can stop spring growth and that seasonal droughts can degrade forest health. What we don't quite know yet is how strong the roles of climate change and weather variability are in these processes. Second, linking anomalies in observed phenology (by remote sensing methods) with climatological analyses can indicate the occurrence, extent, and possible causes of forest disturbances. We pursue two primary interests here: (1) observations of regional climatology and its variability in the area around western Lake Superior, and (2) identifying the influence of climate variability on forest phenology and disturbances in that area.

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Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances

Cited by 383 publications

References 21 publications

Patch-Based Forest Change Detection from Landsat Time Series

Patch-Based Forest Change Detection from Landsat Time Series

The Relative Impact of Harvest and Fire upon Landscape-Level Dynamics of Older Forests: Lessons from the Northwest Forest Plan

Changes in Climate, Forest Phenology, and Forest Disturbances Around Western Lake Superior

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