Moderate resolution remote sensing alternatives: a review of Landsat-like sensors and their applications

Powell, Scott; Pflugmacher, Dirk; Kirschbaum, Alan; Kim, Yunsuk; Cohen, Warren B.

doi:10.1117/1.2819342

Cited by 22 publications

(5 citation statements)

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“…The optical satellite data used in this study can be grouped into two classes: moderate resolution or 'Landsat-like' (Powell et al 2007) data with spatial resolutions in the tens of metres and repeat times measured in days to weeks; and low resolution weather satellites with resolutions in kilometres and repeat times in minutes to hours. The Landsatlike instruments used were the Advanced Land Imager (ALI) aboard NASA's Earth Observing 1 (EO-1) satellite, which was launched in November 2000 (Ungar et al 2003) and the Enhanced Thematic Mapper Plus (ETM+) aboard NASA's Landsat 7 satellite, launched in April 1999 (Goward et al 2001).…”

Section: Methodsmentioning

confidence: 99%

Does the lava lake of Erta ‘Ale volcano respond to regional magmatic and tectonic events? An investigation using Earth Observation data

Barnie

Oppenheimer

Pagli

2016

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Erta 'Ale volcano lies at the centre of the Erta 'Ale rift segment in northern Afar, Ethiopia and hosts one of the few persistent lava lakes found on Earth in its summit caldera. Previous studies have reported anecdotal evidence of a correlation between lake activity and magmatic and tectonic events in the broader region. We investigated this hypothesis for the period 2000-15 by comparing a catalogue of regional events with changes in lake activity reconstructed from Earth Observation data. The lava lake underwent dramatic changes during the study period, exhibiting an overall rise in height with concomitant changes in geometry consistent with a change in heat energy balance. Numerous paroxysms occurred in the lake and in the north pit; a significant dyke intrusion with subsequent re-intrusions indicated a role for dykes in maintaining the lake. However, despite some coincidences between the paroxysms and regional events, we did not find any statistically significant relationship between the two on a timescale of days to weeks. Nevertheless, changes in lake activity have preceded the broad increase in regional activity since 2005 and we cannot rule out a relationship on a decadal scale.Gold Open Access: This article is published under the terms of the CC-BY 3.0 license.

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Section: Methodsmentioning

confidence: 99%

Does the lava lake of Erta ‘Ale volcano respond to regional magmatic and tectonic events? An investigation using Earth Observation data

Barnie

Oppenheimer

Pagli

2016

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“…Even in Brazil, fields are sometimes only a few hectare large demonstrating the need for decametric sensors like Landsat, ASTER, Sentinel-2, Resourcesat-2 and CBERS-3. The disadvantage of Landsat relates to its low revisit frequency of 16 days (eight days if Landsat-7 and 8 are combined) [28]. Together with cloudiness, this may drastically reduce the number of high quality observations [29].…”

Section: Introductionmentioning

confidence: 99%

Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil

et al. 2015

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Only well-chosen segmentation parameters ensure optimum results of object-based image analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming approach, not necessarily leading to optimum results; the subjectivity of the manual approach is also obvious. For this reason, in supervised segmentation as proposed by Stefanski et al. (2013) one integrates the segmentation and classification tasks. The segmentation is optimized directly with respect to the subsequent classification. In this contribution, we build on this work and developed a fully autonomous workflow for supervised object-based classification, combining image segmentation and random forest (RF) classification. Starting from a fixed set of randomly selected and manually interpreted training samples, suitable segmentation parameters are automatically identified. A sub-tropical study site located in São Paulo State (Brazil) was used to evaluate the OPEN ACCESSRemote Sens. 2015, 7 14483proposed approach. Two multi-temporal Landsat 8 image mosaics were used as input (from August 2013 and January 2014) together with training samples from field visits and VHR (RapidEye) photo-interpretation. Using four test sites of 15 × 15 km 2 with manually interpreted crops as independent validation samples, we demonstrate that the approach leads to robust classification results. On these samples (pixel wise, n ≈ 1 million) an overall accuracy (OA) of 80% could be reached while classifying five classes: sugarcane, soybean, cassava, peanut and others. We found that the overall accuracy obtained from the four test sites was only marginally lower compared to the out-of-bag OA obtained from the training samples. Amongst the five classes, sugarcane and soybean were classified best, while cassava and peanut were often misclassified due to similarity in the spatio-temporal feature space and high within-class variabilities. Interestingly, misclassified pixels were in most cases correctly identified through the RF classification margin, which is produced as a by-product to the classification map.

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“…These bands have been widely used in studies focusing on remote sensing of vegetation characteristics (e.g. Calvini et al, 2015;Dale et al, 2011;Glenn et al, 2008;Manevski et al, 2011;Pflugmacher, 2007;Tuxen et al, 2008;Xu et al, 2009). Simulations were done for all individuals of S. plumosum and grass, resulting in two separate pools per spectral band.…”

Section: Simulation Of Landsat and Spot 5 Imagery Bandsmentioning

confidence: 99%

Assessing the potential of remote sensing to discriminate invasive <i>Seriphium plumosum</i> from grass

Dubula¹,

Tefsamichael²,

Rampedi³

2016

SA J of Geomatics

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Moderate resolution remote sensing alternatives: a review of Landsat-like sensors and their applications

Cited by 22 publications

References 1 publication

Does the lava lake of Erta ‘Ale volcano respond to regional magmatic and tectonic events? An investigation using Earth Observation data

Does the lava lake of Erta ‘Ale volcano respond to regional magmatic and tectonic events? An investigation using Earth Observation data

Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil

Assessing the potential of remote sensing to discriminate invasive <i>Seriphium plumosum</i> from grass

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