Filling gaps in MODIS NDVI data using hybrid multiple imputation–Machine learning and DINCAE techniques: Case study of the State of Hawaii DOI
Trang Thi Kieu Tran, Sayed M. Bateni, Hamid Mohebzadeh

et al.

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 201, P. 103856 - 103856

Published: Dec. 25, 2024

Language: Английский

Predicting Prayagraj's Urbanization Trajectory using CA-ANN Modelling: Population Pressures and Land Use Dynamics DOI
Md. Omar Sarif, R. D. Gupta, Ayyoob Sharifi

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122469 - 122469

Published: Sept. 11, 2024

Language: Английский

Citations

4
Uncertainties in Modelling Hawaii's Future Precipitation and What It Means for Endangered Forest Birds: A Review DOI Creative Commons
Erica M. Gallerani, Park Williams, Kyle C. Cavanaugh

et al.

Journal of Biogeography, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

ABSTRACT Aim We aim to review present uncertainties in projecting fine‐scale future precipitation an area of high model disagreement, which is also data poor, topographically complex, and experiences climate‐driven threats endemic biodiversity. Location Hawaiian Islands. Time Period primarily focused on downscaling studies from the past decade comparing most recent iterations Coupled Model Intercomparison Project. Major Taxa Studied honeycreepers. Methods explored sources two major categories: (1) general circulation models (GCMs) islands (2) systematic biases representation tropical Pacific climate. framed this discussion context management planning for endangered forest birds. a brief case study exploring impact differing projections bird ranges. This involves use maximum entropy software suitable habitat Kiwikiu ( Pseudonestor xanthophrys ) using baseline climate that different dynamically downscaled Hawaii. Results The selection methodology can affect as much sign change areas complex topography, especially at higher elevations. identified dynamical used method island predictions globally. Of statistical methods, machine learning proved be common studies. persistent uncertainty GCM simulations are double Inter‐Tropical Convergence Zone bias, cold tongue westward‐extended El Niño‐Southern Oscillation sea surface temperature anomalies. These complicate prediction winter drought prevalence differences our show large range estimations Kiwikiu, leeward side Maui. Main Conclusions Despite its limitations, may better suited than simulating perfect prognosis promise accurate spatial precipitation. Selected GCMs have recently achieved improved representations mean state more realistic Niño –Southern nonlinear feedbacks. To benefit these improvements, research could dedicated finding within Project lowest bias over northern central Pacific. Future Hawaii will conservation actions such predator control, introductions, novel disease techniques.

Language: Английский

Citations

0
Five-Year Evaluation of Sentinel-2 Cloud-Free Mosaic Generation Under Varied Cloud Cover Conditions in Hawai’i DOI Creative Commons
Francisco Rodríguez, Ryan L. Perroy, C. Barrera

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4791 - 4791

Published: Dec. 22, 2024

The generation of cloud-free satellite mosaics is essential for a range remote sensing applications, including land use mapping, ecosystem monitoring, and resource management. This study focuses on across the climatic diversity Hawai’i Island, which encompasses ten Köppen climate zones from tropical to Arctic: periglacial. presents unique challenges image generation. We conducted comparative analysis three cloud-masking methods: two Google Earth Engine algorithms (CloudScore+ s2cloudless) new proprietary deep learning-based algorithm (L3) applied Sentinel-2 imagery. These methods were evaluated against best monthly composite selected high-frequency Planet imagery, acquires daily images. All bands enhanced 10 m resolution, an advanced weather mask was generate 2019 2023. stratified by cloud cover frequency (low, moderate, high, very high), applying one-way two-way ANOVAs assess pixel success rates. Results indicate that CloudScore+ achieved highest rate at 89.4% pixels, followed L3 s2cloudless 79.3% 80.8%, respectively. Cloud removal effectiveness decreased as increased, with clear rates ranging 94.6% under low high cover. Additionally, seasonality effects showed higher in wet season (88.6%), while no significant year-to-year differences observed advances current methodologies generating reliable subtropical regions, potential applications other cloud-dense environments.

Language: Английский

Citations

2
Climate-Induced Forest Mortality in the Tropical Pacific Islands: What Do We Really Know? DOI
Hans Juergen Boehmer, Stephen Galvin

Pacific Science, Journal Year: 2024, Volume and Issue: 77(2-3)

Published: Feb. 1, 2024

Between 1954 and the mid-1980s, about 50,000 ha of native montane rainforest on island Hawai'i experienced a decline in canopy trees ("'ōhi'a dieback"), leading to great concern future Hawai'i's rainforests. Dieback symptoms particularly affected dominant tree species, endemic Metrosideros polymorpha. Early hypotheses postulated that forest was caused by virulent pathogen or combination biotic disease pest agents. This ruled out after decade intensive research 1970s. Instead, it turned dieback patterns were significantly related physical environment, slope, topography, relative position hill annual rainfall, type substrate. Thus, an alternative hypothesis proposed is initiated climate anomalies manifest through soil moisture regimes under certain conditions stand demography. Ironically, scientific perception this interdisciplinary groundbreaking stimulated global perspective vanished while awareness change its potential impact world's forests started grow, rapidly becoming major focus recent years. In paper, we reinforce memory first complex discussion natural causes as showcase for complexity modern mortality research. case demonstrates need rigorously identify, quantify, fully understand all drivers realistically project climate-driven other risks ecosystem functions services. Moreover, summarize findings Pacific islands beyond.

Language: Английский

Citations

1
Chapter 30 : Hawaiʻi and US-Affiliated Pacific Islands. Fifth National Climate Assessment DOI
Abby G. Frazier, Mari–Vaughn V. Johnson, Lucas Berio Fortini

et al.

Published: Jan. 1, 2023

Language: Английский

Citations

3
Mapping Small-Scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas DOI Creative Commons
Hadi Beygi Heidarlou,

Octavian Oprea-Sorescu,

Marina Viorela Marcu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 595 - 595

Published: Feb. 5, 2024

The goal of this study was to estimate the areas under willow cultivation by farmers, as well their growth and health status. Due extremely small patch size land cover types in area, Sentinel-2 data were used conduct supervised classification based on random forest machine learning technique, a large training dataset produced from PlanetScope satellite imagery. results image using Google Earth Engine indicated that Sentinel suitable for identifying willow-cultivated areas. It found these declined 875.32 ha 2017 288.41 2022. analysis conditions plots also revealed temporal variations NDVI decreased significantly 2022 compared previous years (p < 0.05). An in-depth significant positive correlation between NDVI, precipitation, temperature. most efficient components explaining process browning vegetation planted increasing temperature decreasing precipitation. This research may be document national global monitoring efforts climate change adaptation.

Language: Английский

Citations

0
Spaceborne Remote Sensing of Biodiversity DOI
Thomas W. Gillespie, Duccio Rocchini

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0
Monitoring native, non-native, and restored tropical dry forest with Landsat: A case study from the Hawaiian Islands DOI Creative Commons
Monica Dimson, Kyle C. Cavanaugh,

Erica von Allmen

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102821 - 102821

Published: Sept. 12, 2024

Language: Английский

Citations

0
Dispersal limitations prompt early vegetation aggregation in counter-seasonal reservoir riparian zones: A case study of Longkaikou Reservoir, China DOI Creative Commons

Weiwei Jiang,

Wentao Jia,

Henglin Xiao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112837 - 112837

Published: Nov. 15, 2024

Language: Английский

Citations

0
Filling gaps in MODIS NDVI data using hybrid multiple imputation–Machine learning and DINCAE techniques: Case study of the State of Hawaii DOI
Trang Thi Kieu Tran, Sayed M. Bateni, Hamid Mohebzadeh

et al.

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 201, P. 103856 - 103856

Published: Dec. 25, 2024

Language: Английский

Citations

0