SAR-to-optical image translation and cloud removal based on conditional generative adversarial networks: Literature survey, taxonomy, evaluation indicators, limits …
Due to the limitation of optical images that their waves cannot penetrate clouds, such images
always suffer from cloud contamination, which causes missing information and limitations for …
always suffer from cloud contamination, which causes missing information and limitations for …
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter
Abstract Normalized Difference Vegetation Index (NDVI) data derived from Landsat satellites
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion
Abstract The applications of Normalized Difference Vegetation Index (NDVI) time-series data
are inevitably hampered by cloud-induced gaps and noise. Although numerous …
are inevitably hampered by cloud-induced gaps and noise. Although numerous …
Spatiotemporal analysis and war impact assessment of agricultural land in Ukraine using RS and GIS technology
Y Ma, D Lyu, K Sun, S Li, B Zhu, R Zhao, M Zheng… - Land, 2022 - mdpi.com
Military conflicts are one of the inevitable factors that can cause countries to suffer from food
insecurity due to reduced agricultural productivity, increased food prices, and the …
insecurity due to reduced agricultural productivity, increased food prices, and the …
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images
The thick cloud coverage phenomenon severely disturbs optical satellite observation
missions (covering approximately 40–60% areas in the global scale). Therefore, the manner …
missions (covering approximately 40–60% areas in the global scale). Therefore, the manner …
[HTML][HTML] Remote sensing image gap filling based on spatial-spectral random forests
Remote sensing images play a significant role in global land cover monitoring. However,
due to the influence of cloud contamination, optical remote sensing images inevitably …
due to the influence of cloud contamination, optical remote sensing images inevitably …
Automated generation of consistent annual maximum NDVI on coal bases with a new algorithm
J Li, T Qin, C Zhang, Y Zhang, Y Zhang, H Shi, Y Yang - Scientific Data, 2024 - nature.com
Coal is one of the most important fossil energy sources and is ensuring global energy
security. Annual maximum NDVI (Normalized Difference Vegetation Index) data is an …
security. Annual maximum NDVI (Normalized Difference Vegetation Index) data is an …
A unified framework of cloud detection and removal based on low-rank and group sparse regularizations for multitemporal multispectral images
The existing cloud removal methods either need a cloud mask as prior knowledge or detect
clouds before cloud removal processing, ie, the detection and removal processes are …
clouds before cloud removal processing, ie, the detection and removal processes are …
[HTML][HTML] Inducing flooding index for vegetation mapping in water-land ecotone with Sentinel-1 & Sentinel-2 images: A case study in Dongting Lake, China
J Tan, M Chen, C Ao, G Zhao, G Lei, Y Tang, B Wang… - Ecological …, 2022 - Elsevier
Water-land ecotone is a core area of wetlands which play an important role in ecological
function. The information of vegetation type on the water-land ecotone is important for …
function. The information of vegetation type on the water-land ecotone is important for …
Reconstructing high-spatiotemporal-resolution (30 m and 8-days) NDVI time-series data for the Qinghai–Tibetan Plateau from 2000–2020
As the largest and highest alpine ecoregion in the world, the Qinghai–Tibetan Plateau (QTP)
is extremely sensitive to climate change and has experienced extraordinary warming during …
is extremely sensitive to climate change and has experienced extraordinary warming during …