[HTML][HTML] Measuring riverine macroplastic: Methods, harmonisation, and quality control

R Hurley, HFV Braaten, L Nizzetto, EH Steindal, Y Lin… - Water Research, 2023 - Elsevier
River systems are a key environmental recipient of macroplastic pollution. Understanding
the sources of macroplastic to rivers and the mechanisms controlling fate and transport is …

Remote data for mapping and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

Connectivity, sport events, and tourism development of Mandalika's special economic zone: A perspective from big data cognitive analytics

RE Caraka, IW Wardhana, Y Kim, AD Sakti… - Cogent Business & …, 2023 - Taylor & Francis
This study examines the interplay of air connectivity, sports events, infrastructures, and fiscal
support during the period 2017 and 2022 in a designated area called Special Economic …

Identification of illegally dumped plastic waste in a highly polluted river in Indonesia using Sentinel-2 satellite imagery

AD Sakti, E Sembiring, P Rohayani, KN Fauzan… - Scientific Reports, 2023 - nature.com
Plastic waste monitoring technology based on Earth observation satellites is one approach
that is currently under development in various studies. The complexity of land cover and the …

Plastic pollution in the surface water in Jakarta, Indonesia

MM Sari, P Andarani, S Notodarmojo, RK Harryes… - Marine Pollution …, 2022 - Elsevier
Plastic pollution in the ocean primarily originates from the land-derived mismanaged plastic
waste that is transported by rivers. This study aimed to estimate the plastic litter generation in …

Developing relative spatial poverty index using integrated remote sensing and geospatial big data approach: A case study of east java, Indonesia

SR Putri, AW Wijayanto, AD Sakti - ISPRS International Journal of Geo …, 2022 - mdpi.com
Poverty data are usually collected through on-the-ground household-based socioeconomic
surveys. Unfortunately, data collection with such conventional methods is expensive …

School location analysis by integrating the accessibility, natural and biological hazards to support equal access to education

AD Sakti, MAE Rahadianto, B Pradhan… - … International Journal of …, 2021 - mdpi.com
This study proposes a new model for land suitability for educational facilities based on
spatial product development to determine the optimal locations for achieving education …

Spatial prioritization for wildfire mitigation by integrating heterogeneous spatial data: A new multi-dimensional approach for tropical rainforests

AD Sakti, AI Fauzi, W Takeuchi, B Pradhan, M Yarime… - Remote Sensing, 2022 - mdpi.com
Wildfires drive deforestation that causes various losses. Although many studies have used
spatial approaches, a multi-dimensional analysis is required to determine priority areas for …

Development of spatial model for food security prediction using remote sensing data in west Java, Indonesia

R Virtriana, A Riqqi, TS Anggraini, KN Fauzan… - … International Journal of …, 2022 - mdpi.com
The food crisis is a problem that the world will face. The availability of growing areas that
continues to decrease with the increase in food demand will result in a food crisis in the …

The processes and transport fluxes of land-based macroplastics and microplastics entering the ocean via rivers

T Wang, B Li, H Shi, Y Ding, H Chen, F Yuan… - Journal of Hazardous …, 2024 - Elsevier
Approximately 80% of marine plastic waste originates from land-based sources and enters
oceans through rivers. Hence, to create effective regulations, it is crucial to thoroughly …