Results 81 to 90 of about 763 (163)

A Spatiotemporal Ontology of Informal Settlements Using a Combination of OBIA–RF With Worldview-3 and Landsat Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
An understanding of the spatial distribution of informal settlements within a city is important for urban management decision-making and service infrastructure provision, provides useful information for planners and policymakers, and has a role in ...
Khlood Ghalibr Alrasheedi, Ashraf Dewan, Ahmed El-Mowafy   +2 more
doaj   +1 more source

Tracking savanna vegetation structure in South Africa by extension of GEDI canopy metrics with Landsat, Sentinel-2, and PALSAR

Science of Remote Sensing
Adaptive management of savanna ecosystems requires frequent monitoring of woody vegetation structure, and although vegetation structure and changes may be captured with repeat airborne lidar, it is spatially and temporally limited across African savannas.
Steven K. Filippelli, Jody C. Vogeler, Francisco Mauro, Corli Coetsee, Patrick A. Fekety, Melissa McHale, David Bunn   +6 more
doaj   +1 more source

A Novel Framework for Long-Term Forest Disturbance Monitoring: Synergizing the LandTrendr Algorithm with CNN in Northeast China

Remote Sensing
As carbon cycling and global environmental protection gain increasing attention, forest disturbance research has intensified worldwide. Constrained by limited data availability, existing frameworks often rely on extracting individual spectral bands for simple binary disturbance detection, lacking systematic approaches to visualize and classify causes ...
Zhaoyi Zheng, Ying Yu, Xiguang Yang, Xinyi Yuan, Zhuohan Hou   +4 more
openaire   +1 more source

A 2020 forest age map for China with 30 m resolution [PDF]

Earth System Science Data
A high-resolution, spatially explicit forest age map is essential for quantifying forest carbon stocks and carbon sequestration potential. Prior attempts to estimate forest age on a national scale in China have been limited by sparse resolution and ...
K. Cheng, Y. Chen, T. Xiang, H. Yang, W. Liu, Y. Ren, Y. Ren, H. Guan, T. Hu, Q. Ma, Q. Guo, Q. Guo   +11 more
doaj   +1 more source

Detecting Vegetation Disturbance in Kutupalong Rohingya Camp Area, Ukhia using LandTrendr Model

This research emphasized on “Detecting Vegetation Disturbance in Kutupalong Rohingya Camp Area, Ukhia using LandTrendr Model”. It mainly emphasized on the identification of pixel-based magnitude and direction of changes in vegetation cover due to ...
Ebadullah Khan, Mohammad Ali, Ali Ashrafi Sultana   +2 more
core   +1 more source

Long-Term Forest Disturbance Mapping in the Qinling Mountains Using Landsat–Sentinel Annual Composites: A Regional Assessment of LandTrendr Performance

Remote Sensing
Forests in the Qinling Mountains play a critical role in maintaining regional ecosystem services, yet long-term, high-resolution forest disturbance datasets at the regional scale remain limited, particularly in mountainous and cloud-prone environments ...
Yiting Wang, Zengnan Li, Xin Zhang, Donghui Xie   +3 more
doaj   +1 more source

Interannual Monitoring of Cropland in South China from 1991 to 2020 Based on the Combination of Deep Learning and the LandTrendr Algorithm

Remote Sensing
Timely and accurate acquisition of spatial distribution and changes in cropland is of significant importance for food security and ecological preservation. Most studies that monitor long-term changes in cropland tend to overlook the rationality in the process of cropland evolution, and there are conflicts between the interannual cropland data, so they ...
Yue Qu, Boyu Zhang, Han Xu 0005, Zhi Qiao 0002, Luo Liu   +4 more
openaire   +3 more sources

Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso

Environmental Challenges
Quarries are open pit mines, where construction materials such as granite and clay are extracted from the earth's surface, leading to a major disturbance of vegetation and subsequent degradation of ecosystem services.
Oussama Himmy, Thanh Thi Nguyen, Katharina Salomea Hemmler, Safia Loulad, Hassan Rhinane, Andreas Buerkert   +5 more
doaj   +1 more source

Issue Information

Grassland Research, Volume 4, Issue 2, Page i-iv, June 2025.
wiley   +1 more source

Monitoring rural-urban transformation in the coastal region of Rabat-Sale-Kenitra, Morocco. [PDF]

PLoS One, 2023
Loulad S, Nguyen TT, Simou MR, Rhinane H, Buerkert A.   +4 more
europepmc   +1 more source