A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

Montero, David; Aybar, César; Mahecha, Miguel D.; Martinuzzi, Francesco; Söchting, Maximilian; Wieneke, Sebastian

doi:10.1038/s41597-023-02096-0

Cited by 61 publications

(20 citation statements)

References 191 publications

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“…Satellite‐derived indexes can provide important insights into the evolution of the Earth system (Lopez et al, 2020; Montero et al, 2023), as long as the proper images and indexes are selected. Given the need for investigating long‐term changes, the Landsat surface reflectance products (Landsat 5 Thematic Mapper, Landsat 7 Enhanced Thematic Mapper; Landsat 8 Operational Land Imager and Landsat 9 Operational Land Imager) were selected as the primary source of satellite imagery.…”

Section: Methodsmentioning

confidence: 99%

Remote sensing assessment of anthropogenic and climate variation effects on river channel morphology and vegetation: Impact of dry periods on a European piedmont river

Nones,

Guerrero,

Schippa

et al. 2024

Earth Surf Processes Landf

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Rivers are subject to increasing human pressure, resulting in a loss of their natural characteristics, further enhanced by climate change. The present study focuses on a piedmont reach of the Italian Po River and combines Landsat satellite information with hydrological records to investigate changes in sandbars exposure and riparian vegetation coverage, considering the summer period of 1984–2022. Satellite data were handled via Google Earth Engine, looking at common indexes such as the Modified Normalized Difference Water Index, which was used to identify temporal variations in wetted channel area, and the Normalized Difference Vegetation Index, considered as a proxy of vegetation coverage variations. Changes in the river hydrology were analysed by looking at the annual minimum water levels, the discharge duration curve, the stage–discharge relationship and the yearly annual water volume. Results suggest that a process of oversimplification is affecting this reach of the Po River, showing how climate change can affect piedmont European watercourses. Indeed, after an initial period where bars tended to be barer and somehow stable over time, in the most recent decade a different trend appeared, with vegetation able to colonize the exposed sandbars more. Using the Po River as an exemplary case study, this work suggests that prolonged dry periods, which are more common in recent decades, might impact large and medium rivers located in temperate climates, favouring the development of vegetation on exposed sandbars, eventually resulting in a less dynamic active channel.

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Section: Methodsmentioning

confidence: 99%

Remote sensing assessment of anthropogenic and climate variation effects on river channel morphology and vegetation: Impact of dry periods on a European piedmont river

Nones,

Guerrero,

Schippa

et al. 2024

Earth Surf Processes Landf

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“…Spectral indices, derived from multispectral remote sensing products, are extensively used to monitor Earth system dynamics (e.g., water bodies, fire regimes, vegetation dynamics, etc.) [28]. Surface materials have unique spectral signatures due to their physical properties and interactions with electromagnetic radiation.…”

Section: Ecology Casementioning

confidence: 99%

“…The most well-known and frequently used VI is the normalized difference vegetation Index (NDVI), which is calculated as the normalized difference between near-infrared (NIR) and red reflectance. It is commonly used to evaluate vegetation greenness over spatial and temporal dimensions [28]. The mangrove forest ecosystem is highly susceptible to anthropogenic disturbance and climate change, making it one of the most vulnerable ecosystems on Earth [32].…”

Section: Ecology Casementioning

confidence: 99%

A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation

Gao,

Chen,

Chen

et al. 2024

IJGI

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Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process and final application. Building appropriate geographic applications for non-professionals remains a challenge. In this study, a geospatial data service architecture is designed that links desktop geographic information system (GIS) software and cloud-based platforms to construct an efficient user collaboration platform. Based on the scalability of the platform, four web apps with different themes are developed. Data in the fields of ecology, oceanography, and geology are uploaded to the platform by the users. In this pilot phase, the gap between non-specialized users and experts is successfully bridged, demonstrating the platform’s powerful interactivity and visualization. The paper finally evaluates the capability of building spatial data infrastructures (SDI) based on GeoNode and discusses the current limitations. The support for three-dimensional data, the improvement of metadata creation and management, and the fostering of an open geo-community are the next steps.

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“…Although Sentinel-1 data consists of VH and VV polarization, only VH polarization was used in this study since it has higher sensitivity than VV polarization data for mapping rice fields (Nguyen et al, 2016;Rudiyanto et al, 2019). Sentinel-2 data comprises 13 bands; however, only two bands; band 4 (Red) and band 8 (NIR), were used in this study since they could be used to generate Normalized Difference Vegetation Index (NDVI) which is calculated by (Montero et al, 2023):…”

Section: Sentinel-1 and Sentinel-2 Imagery Datamentioning

confidence: 99%

Mapping Paddy Rice Extent and Cropping Pattern in Iada Barat Laut Selangor Using Integration of Sentinel-1 and 2 Data

Rudiyanto,

LIONG CHUN,

SARUDIN

et al. 2023

UMT JUR

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The Malaysian government, under the 12th Malaysia Plan (RMK-12), has set a goal to achieve a self-sufficient level (SSL) of 70% for rice production. Accurate and timely spatiotemporal information on harvested rice extent is required to measure progress towards achieving the SSL for rice. Remote sensing technology has been widely used to provide information on rice extent in large areas rapidly. The aim of this study is to create maps of rice extent and cropping patterns in the IADA Barat Laut Selangor (BLS) using a combination of Synthetic Aperture Radar (SAR) imagery data from Sentinel-1, optical imagery data at level-2A or Surface Reflectance (SR) from Sentinel-2, the unsupervised K-means clustering method, and the Google Earth Engine (GEE) cloud-based computing platform. The clustering results were then classified into rice and non-rice groups, and used to generate rice cropping patterns based on their representative profiles of temporal composite values of VH backscatter of Sentinel-1 data and NDVI of Sentinel-2 data. The accuracy of the map products was evaluated using a confusion matrix based on visual interpretation using very high-resolution imagery in Google Earth (GE) and compared with the existing data from IADA BLS. The rice extent map generated at 10-meter resolution exhibited excellent accuracy with an overall accuracy of 98% and a kappa coefficient of 0.95. The estimated rice parcel area in IADA BLS for 2021 was 17,864 ha, which is close to the existing data of 18,785 ha. The comparison of results in the irrigation block also indicated that the rice field area agreed well with the statistical data, with an R2 of 0.95, RMSE of 357 ha, and relative discrepancy of 4.9%. The cropping pattern also showed satisfactory results as compared to the existing data. These findings demonstrate that the proposed methodology can provide high-accuracy rice extent map products and has the potential to be applied to rice fields across Malaysia and other tropical regions to address food security issues.

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A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

Cited by 61 publications

References 191 publications

Remote sensing assessment of anthropogenic and climate variation effects on river channel morphology and vegetation: Impact of dry periods on a European piedmont river

Remote sensing assessment of anthropogenic and climate variation effects on river channel morphology and vegetation: Impact of dry periods on a European piedmont river

A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation

Mapping Paddy Rice Extent and Cropping Pattern in Iada Barat Laut Selangor Using Integration of Sentinel-1 and 2 Data

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