Results 71 to 80 of about 17,569,314 (273)

Reconstructing Historical Landsat Time Series Using a Transformer-Based Deep Learning Approach: A Case Study in the Canadian Prairies Region

Canadian Journal of Remote Sensing
The Landsat program is crucial for monitoring environmental changes, benefiting from its long record of moderate-spatial-resolution imagery, well-established calibration, and commitment to providing open-access data.
Masoud Babadi Ataabadi, Darren Pouliot, Dongmei Chen, Temitope Seun Oluwadare   +3 more
doaj   +1 more source

Land Restoration as a Catalyst for Regional Economic Revitalization: Evidence From Urban–Rural Transition Zones

Land Degradation &Development, EarlyView.
ABSTRACT Large‐scale land restoration is widely expected to improve environmental quality, yet causal evidence on its local economic returns remains limited. This gap is especially important in urban–rural transition zones, where development pressure and ecological damage overlap.
Rui Sun, Jichao Zhou, Yali Li, Xin Cheng, Ziru Zhang   +4 more
wiley   +1 more source

On the Suitability of MODIS Time Series Metrics to Map Vegetation Types in Dry Savanna Ecosystems: A Case Study in the Kalahari of NE Namibia [PDF]

, 2009
The characterization and evaluation of the recent status of biodiversity in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes.
Martin Herold, Gessner, U., Hüttich, Christian, Dech, Stefan, Herold, M., Strohbach, B., Strohbach, Ben, Ursula Gessner, Hüttich, C., Stefan Dech, Ben J. Strohbach, Keil, M., Ben J. Strohbach, Dech, S., Manfred Keil, Schmidt, M., Gessner, Ursula, Herold, Martin, Keil, Manfred, Christian Hüttich, Michael Schmidt   +20 more
core   +1 more source

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

Landsat Time Series Assessment of Invasive Annual Grasses Following Energy Development

Remote Sensing, 2019
Invasive annual grasses are of concern in much of the western United States because they tolerate resource variability and have high reproductive capacity, with propagules that are readily dispersed in disturbed areas like those created and maintained ...
Miguel L. Villarreal, Christopher E. Soulard, Eric K. Waller   +2 more
doaj   +1 more source

Analysis of Landsat NDVI time series for detecting degradation of vegetation

, 2015
info:eu-repo/semantics ...
openaire   +4 more sources

Depositional and Hydrological Relationships Between Buried Dead Ice and the Active Layer in the McMurdo Dry Valleys, Antarctica: A Study of Sediment Geochemistry and Cation Concentrations

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT The McMurdo Dry Valleys, the largest ice‐free region in Antarctica, are home to a cold‐desert hydrologic system of glaciers, snowbanks, streams, and lakes. Freshwater is also stored as dead glacial ice, which is poorly constrained in terms of ion concentrations and interactions with both in situ and overlying sediments.
Matthew C. Witscheber, Kate M. Swanger
wiley   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

Object-Based Change Detection in the Cerrado Biome Using Landsat Time Series

Remote Sensing, 2019
Change detection methods are often incapable of accurately detecting changes within time series that are heavily influenced by seasonal variations.
Inacio T. Bueno, Fausto W. Acerbi Júnior, Eduarda M. O. Silveira, José M. Mello, Luís M. T. Carvalho, Lucas R. Gomide, Kieran Withey, José Roberto S. Scolforo   +7 more
doaj   +1 more source

Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices

Remote Sensing, 2020
Accurate cropland classification is important for agricultural monitoring and related decision-making. The commonly used input spectral features for classification cannot be employed to effectively distinguish crops that have similar spectro-temporal ...
Xinran Chen, Yulin Zhan, Yan Liu, Xingfa Gu, Tao Yu, Dakang Wang, Qixin Liu, Yin Zhang, Yunzhou Zhang   +8 more
doaj   +1 more source