A review of remote sensing applications in tropical forestry with a particular emphasis in the plantation sector

Trisasongko, Bambang H.; Paull, David

doi:10.1080/10106049.2018.1516245

Cited by 26 publications

(13 citation statements)

References 151 publications

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“…As a major part of terrestrial ecosystems, forest ecosystems play an important role in the global carbon cycle, energy balance, and material exchange (Paul et al, 2002;Bonan, 2008;Pan et al, 2011). The main factors causing forest disturbance are climate change, natural disasters, and human activities, of which human activities are the most significant (Foley et al, 2005;Song et al, 2018;Trisasongko and Paull, 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Urban Ecological Security and Measurement of Urban Ecological Resilience

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Urban Ecological Security and Measurement of Urban Ecological Resilience

2024

Frontiers Research Topics

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“…It can realize mapping of spatial distribution and dynamic changes of carbon storage [41] and reflect the relationship between land-use change and carbon storage under different scenarios [9]. However, existing studies [50][51][52] generally focus on the effects of all types of LULC on total carbon stock, and relatively little research has been conducted on the effects of single land-use types (e.g., rubber forests) on total carbon storage, which may be important for forest carbon neutralization [19]. In addition, the existing studies [50][51][52] on carbon storage estimation in rubber forests are basically converted from biomass by assuming a constant value or approximating the multi-year average rate, which will inevitably lead to large uncertainties in the actual carbon storage simulations.…”

Section: Introductionmentioning

confidence: 99%

“…However, existing studies [50][51][52] generally focus on the effects of all types of LULC on total carbon stock, and relatively little research has been conducted on the effects of single land-use types (e.g., rubber forests) on total carbon storage, which may be important for forest carbon neutralization [19]. In addition, the existing studies [50][51][52] on carbon storage estimation in rubber forests are basically converted from biomass by assuming a constant value or approximating the multi-year average rate, which will inevitably lead to large uncertainties in the actual carbon storage simulations. Therefore, using the age data of rubber, the InVEST model can improve the temporal dynamic evolution of carbon storage in the rubber forest, improving the accuracy of carbon storage simulation to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impact of Rubber Plantation Expansion on Regional Carbon Storage Based on Time Series Remote Sensing and the InVEST Model

Huang

Zhang

2022

Remote Sensing

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Rubber plantations in southeast Asia have grown at an unprecedented rate in recent decades, leading to drastic changes in regional carbon storage. To this end, this study proposes a systematic approach for quantitatively estimating and assessing the impact of rubber expansions on regional carbon storage. First, using Sentinel-1 and Sentinel-2 satellite data, the distributions of forest and rubber, respectively, were extracted. Then, based on the Landsat time series (1999–2019) remote sensing data, the stand age estimation of rubber plantations was studied with the improved shapelet algorithm. On this basis, the Ecosystem Services and Tradeoffs model (InVEST) was applied to assess the regional carbon density and storage. Finally, by setting up two scenarios of actual planting and hypothetical non-planting of rubber forests, the impact of the carbon storage under these two scenarios was explored. The results of the study showed the following: (1) The area of rubber was 1.28 × 105 ha in 2019, mainly distributed at an elevation of 200–400 m (accounting for 78.47% of the total of rubber). (2) The average age of rubber stands was 13.85 years, and the total newly established rubber plantations were converted from cropland and natural forests, accounting for 54.81% and 45.19%, respectively. (3) With the expansion of rubber plantations, the carbon density increased from only 2.25 Mg·C/ha in 1999 to more than 15 Mg·C/ha in 2018. Among them, the carbon sequestration increased dramatically when the cropland was replaced by rubber, while deforestation and replacement of natural forests will cause a significant decrease. (4) The difference between the actual and the hypothetical carbon storage reached −0.15 million tons in 2018, which means that the expansion of rubber led to a decline in carbon storage in our study area. These research findings can provide a theoretical basis and practical application for sustainable regional rubber forest plantation and management, carbon balance maintenance, and climate change stabilization.

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“…Managing large plantations is a challenge in terms of monitoring schemes, therefore, the use of remote sensing technology is an efficient and effective strategy to collect plantationrelated data. Plantation sector has increasingly utilized remote sensing technology; details are presented elsewhere, for instance [1][2][3]. This also applies to oil palm plantations.…”

Section: Introductionmentioning

confidence: 99%

Discriminating the Severity of Basal Stem Rot Disease in Oil Palm (Elaeis guineensis Jacq.) Plantation Using Sentinel-2

Handrian

Trisasongko

Panuju

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Oil palm remains the most prominent plantation sector in Indonesia. Monitoring large scale plantations require specificity in datasets and approaches. Observing the extent of plantations has long been conducted using remotely-sensed data. With the complex issues in oil palm plantations, focus has also been made in investigating the utility of earth-observing satellites to estimate foliar nutrients and to identify the impact of plant diseases. The latter has been one of emerging research interests, especially the basal stem rot (BSR) caused by Ganoderma boninense. In this research, we proposed a freely-available, multispectral data of Sentinel-2 taking the advantage of frequent observation period. Preliminary discrimination of BSR impacts was examined by using a popular machine learning approach, i.e. random forests. Ground data as the reference were collected in Cikasungka plantation, Bogor, Indonesia. Using a tuned random forest model, we obtained overall accuracy about 82% with five distinctive targets, i.e. four severity levels and the normal trees. This research suggests that tuned random forest model could be invaluable for constructing a proper machine learning model that adaptive to data feeds.

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A review of remote sensing applications in tropical forestry with a particular emphasis in the plantation sector

Cited by 26 publications

References 151 publications

Evaluation of Urban Ecological Security and Measurement of Urban Ecological Resilience

Evaluation of Urban Ecological Security and Measurement of Urban Ecological Resilience

Assessment of the Impact of Rubber Plantation Expansion on Regional Carbon Storage Based on Time Series Remote Sensing and the InVEST Model

Discriminating the Severity of Basal Stem Rot Disease in Oil Palm (Elaeis guineensis Jacq.) Plantation Using Sentinel-2

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