An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery

Gupta, Kaushik; Mukhopadhyay, Anirban; Giri, Sandip; Chanda, Abhra; Majumdar, Sayani; Samanta, Sourav; Mitra, Debashis; Samal, R. N.; Pattnaik, Ajit K.; Hazra, Sugata

doi:10.1016/j.mex.2018.09.011

Cited by 125 publications

(62 citation statements)

References 38 publications

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“…This rearrangement imposes a histogram brightness reversal but does not amplify the separability between the mangrove and non-mangrove strata. Thus, for the sake of simplicity, only the NDVI [33], the NDWI [34], the CMRI [53] and the MMRI were further compared.…”

Section: Rulementioning

confidence: 99%

“…To examine the performance of the MMRI mangrove separability, a comparison of distinct mangrove and classical vegetation indices was performed. Each map was constructed based on a single-attribute classifier, in which only one of the following spectral indices per execution were considered: Combined Mangrove Recognition Index (CMRI) [38,53], NDVI [33], NDWI [34] or MMRI. The CMRI [53] and the NDWI-NDVI difference [38] are technically the same, as both are simple arithmetical differences between the NDVI and the NDWI, in which the order of the variables changes from "NDV I − NDW I" to "NDW I − NDV I".…”

Section: Rulementioning

confidence: 99%

“…Spectral indices may be described as the mathematical combinations of bands used to indicate the relative abundance of features of interest or to enhance the spectral separability between them. With this in mind, the MMRIs were compared to already existing mangrove indices and classical vegetation indices, such as the CMRI [53], the NDVI [33] and the NDWI [34].…”

Section: Modular Mangrove Recognition Index (Mmri)mentioning

confidence: 99%

See 2 more Smart Citations

Brazilian Mangrove Status: Three Decades of Satellite Data Analysis

Diniz

Cortinhas²,

Nerino³

et al. 2019

Remote Sensing

126

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Since the 1980s, mangrove cover mapping has become a common scientific task. However, the systematic and continuous identification of vegetation cover, whether on a global or regional scale, demands large storage and processing capacities. This manuscript presents a Google Earth Engine (GEE)-managed pipeline to compute the annual status of Brazilian mangroves from 1985 to 2018, along with a new spectral index, the Modular Mangrove Recognition Index (MMRI), which has been specifically designed to better discriminate mangrove forests from the surrounding vegetation. If compared separately, the periods from 1985 to 1998 and 1999 to 2018 show distinct mangrove area trends. The first period, from 1985 to 1998, shows an upward trend, which seems to be related more to the uneven distribution of Landsat data than to a regeneration of Brazilian mangroves. In the second period, from 1999 to 2018, a trend of mangrove area loss was registered, reaching up to 2% of the mangrove forest. On a regional scale,~85% of Brazil's mangrove cover is in the states of Maranhão, Pará, Amapá and Bahia. In terms of persistence,~75% of the Brazilian mangroves remained unchanged for two decades or more.Globally, mangrove forests are distributed in tropical and subtropical intertidal regions between approximately 30 • N and 30 • S [6]. In 2000, mangrove forests represented a total area of 137,760 km 2 , distributed in 118 countries and making up~1% of the tropical forests in the world [7]. Mangrove forests are an evergreen type of vegetation typically distributed from the mean sea level to the highest spring tide [8] and grow in extreme environmental conditions such as extreme tides, high salinity, high temperatures and muddy anaerobic soils [9].Mangrove systems play an essential role in human sustainability, providing a wide range of ecosystem services, including nutrient cycling, soil formation and wood production. They also provide fish spawning grounds and carbon (C) storage [10][11][12], being one of the most productive and biologically complex ecosystems on earth [13]. Mangroves and coastal wetlands sequester carbon at an annual rate two to four times greater than that of mature tropical forests and store three to five times more carbon per equivalent area than do tropical forests [10]. Despite its importance, this environment is still highly threatened due to population growth and urbanisation processes.Since the 1980s, mapping and change detection in mangrove areas at the global scale have been carried out [7,11,[14][15][16]. However, there are few studies in the current literature that include the systematic and continuous identification of mangroves and associated changes, whether on the global or regional scale. In Brazil, the first national mangrove map was published in 1991 [17], based on airborne real aperture radar data collected from 1972 to 1975. At that time, the national mangrove area was~13,800 km 2 . In the same period, Schaeffer-Novelli et al. [18] described the variability in the mangrove ecosystems along the Brazilian c...

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Section: Rulementioning

confidence: 99%

Section: Rulementioning

confidence: 99%

Section: Modular Mangrove Recognition Index (Mmri)mentioning

confidence: 99%

See 1 more Smart Citation

Brazilian Mangrove Status: Three Decades of Satellite Data Analysis

Diniz

Cortinhas²,

Nerino³

et al. 2019

Remote Sensing

126

View full text Add to dashboard Cite

show abstract

“…Specifically, the Normalized Difference Vegetation Index (NDVI) was chosen for the present research because it is the index that demonstrates a more homogeneous behavior with respect to different types of plant cover [29]. In addition, previous studies carried out in different areas of Asia corroborate the effectiveness of using the NDVI for the determination of mangrove forests, which are a key vegetation type in the area of study [30][31][32].…”

Section: Methodsmentioning

confidence: 99%

Changes in Land Cover in Cacheu River Mangroves Natural Park, Guinea-Bissau: The Need for a More Sustainable Management

Toro

Más-López

2019

Sustainability

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The aim of this paper is to study the evolution of vegetation and potential changes in land use in the Cacheu River Mangroves Natural Park in the Republic of Guinea-Bissau. To do this, we will study variations in the Normalized Difference Vegetation Index (NDVI). In order to perform the calculations and subsequent analysis, images of the park from the years 2010 and 2017, corresponding to the same period of the year, so that the phenological stage is the same, were used. To perform a more reliable analysis, the park was divided into five different areas based upon the vegetation type or main use of the land in each of them; i.e.: mangals, palm forest, paddies, savannahs and others. Using a statistical sample, the NDVIs were calculated for each of these areas. The study made it possible to conclude that the changes in land cover observed represent a decrease in mangrove swamps, which are probably being replaced by other land uses, despite the fact that these forests constitute the most important ecological area of all those that make up the park. The park will therefore benefit from a more sustainable management.

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“…The NDWI combines the shortwave infrared with the red part of the light spectrum. By subtracting the NDVI from the NDWI, surface water and very wet land can be detected [45]. The surface wetness is shown in Figure 5 for 2000 ( Figure 5a) and 2019 ( Figure 5b).…”

Section: Remotely Sensed and Ground-based Observationsmentioning

confidence: 99%

Eco-Development Response to Climate Change and the Isostatic Uplift of Southwestern Finland

Verstraeten

2019

Sustainability

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To date, care for our planet is mainly focused on the remediation of climate change induced by the huge amount of anthropogenic emissions of greenhouse gasses and its precursors. Transforming fossil combustion to more sustainable energy worldwide is a wellknown example. In contrast, what is little known is that the environment shaped by humans is also challenged by relatively fast geological dynamical phenomena such as the isostatic uplift of Fennoscandia, parts of Canada and northwestern Russia. Due to this uplift, the archipelago along the coast of southwestern Finland and Sweden changes rapidly to mainland. This phenomenon deeply affects both nature as well as the environment, resulting in the relocation of human activities. Here, we interpret the on-ground observed regression of the Gulf of Bothnia on the coasts of southwestern Finland and its implications on countryside activities in the framework of the eco-development paradigm. Furthermore, remotely sensed data on surface wetness confirms this sea regression and the silting-up of the nearby lakes that drain precipitation to the Gulf. We show that this eco-development paradigm may rebalance nature, environment, humans and culture and that it is a valid alternative against the past and present-day socioeconomical approach that has accelerated the change in the Earth’s climate.

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An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery

Abstract: Graphical abstract

Cited by 125 publications

References 38 publications

Brazilian Mangrove Status: Three Decades of Satellite Data Analysis

Brazilian Mangrove Status: Three Decades of Satellite Data Analysis

Changes in Land Cover in Cacheu River Mangroves Natural Park, Guinea-Bissau: The Need for a More Sustainable Management

Eco-Development Response to Climate Change and the Isostatic Uplift of Southwestern Finland

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