[PDF][PDF] WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas

SE Fick, RJ Hijmans - International journal of climatology, 2017 - researchgate.net
We created a new dataset of spatially interpolated monthly climate data for global land areas
at a very high spatial resolution (approximately 1 km2). We included monthly temperature …

A modified bare soil index to identify bare land features during agricultural fallow-period in southeast Asia using Landsat 8

CT Nguyen, A Chidthaisong, P Kieu Diem, LZ Huo - Land, 2021 - mdpi.com
Bare soil is a critical element in the urban landscape and plays an essential role in urban
environments. Yet, the separation of bare soil and other land cover types using remote …

Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion

D Chu, H Shen, X Guan, JM Chen, X Li, J Li… - Remote Sensing of …, 2021 - Elsevier
Abstract The applications of Normalized Difference Vegetation Index (NDVI) time-series data
are inevitably hampered by cloud-induced gaps and noise. Although numerous …

Flood mapping and flood dynamics of the Mekong Delta: ENVISAT-ASAR-WSM based time series analyses

C Kuenzer, H Guo, J Huth, P Leinenkugel, X Li… - Remote Sensing, 2013 - mdpi.com
Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are
especially appropriate instruments, as they allow the differentiation of inundated from non …

Mapping rice cropping systems in Vietnam using an NDVI-based time-series similarity measurement based on DTW distance

X Guan, C Huang, G Liu, X Meng, Q Liu - Remote Sensing, 2016 - mdpi.com
Normalized Difference Vegetation Index (NDVI) derived from Moderate Resolution Imaging
Spectroradiometer (MODIS) time-series data has been widely used in the fields of crop and …

Surface water monitoring within Cambodia and the Vietnamese Mekong Delta over a year, with Sentinel-1 SAR observations

B Pham-Duc, C Prigent, F Aires - Water, 2017 - mdpi.com
This study presents a methodology to detect and monitor surface water with Sentinel-1
Synthetic Aperture Radar (SAR) data within Cambodia and the Vietnamese Mekong Delta. It …

Detecting change in urban areas at continental scales with MODIS data

CM Mertes, A Schneider, D Sulla-Menashe… - Remote Sensing of …, 2015 - Elsevier
Urbanization is one of the most important components of global environmental change, yet
most of what we know about urban areas is at the local scale. Remote sensing of urban …

Meteorological drought analysis in the Lower Mekong Basin using satellite-based long-term CHIRPS product

H Guo, A Bao, T Liu, F Ndayisaba, D He, A Kurban… - Sustainability, 2017 - mdpi.com
Lower Mekong Basin (LMB) experiences a recurrent drought phenomenon. However, few
studies have focused on drought monitoring in this region due to lack of ground …

Systematic land cover bias in Collection 5 MODIS cloud mask and derived products—A global overview

AM Wilson, B Parmentier, W Jetz - Remote Sensing of Environment, 2014 - Elsevier
Identifying cloud interference in satellite-derived data is a critical step toward developing
useful remotely sensed products. Most MODIS land products use a combination of the …

[HTML][HTML] Agricultural drought conditions over mainland Southeast Asia: Spatiotemporal characteristics revealed from MODIS-based vegetation time-series

TV Ha, S Uereyen, C Kuenzer - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Drought is a reoccurring slow-onset hazard event and has a tremendous impact on
agricultural production and ecosystem health. Mainland Southeast Asia is a major rainfed …