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[HTML][HTML] High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques
Normalized difference vegetation index (NDVI) derived from satellites has been ubiquitously
utilized in the field of remote sensing. Nevertheless, there are multitudinous contaminations …
utilized in the field of remote sensing. Nevertheless, there are multitudinous contaminations …
Remote sensing based rapid assessment of flood crop damage using novel disaster vegetation damage index (DVDI)
Accurate crop-specific damage assessment immediately after flood events is crucial for grain
pricing, food policy, and agricultural trade. The main goal of this research is to estimate the …
pricing, food policy, and agricultural trade. The main goal of this research is to estimate the …
A review of scientific irrigation scheduling methods
Scientific irrigation scheduling aims to solve the on-farm allocation of water, deciding
whether or not to irrigate, when, and determining the amount. Studies conducted in various …
whether or not to irrigate, when, and determining the amount. Studies conducted in various …
[HTML][HTML] Towards Optimising the Derivation of Phenological Phases of Different Crop Types over Germany Using Satellite Image Time Series
Operational crop monitoring applications, including crop type map**, condition
monitoring, and yield estimation, would benefit from the ability to robustly detect and map …
monitoring, and yield estimation, would benefit from the ability to robustly detect and map …
[HTML][HTML] Construction of Linear Models for the Normalized Vegetation Index (NDVI) for Coffee Crops in Peru Based on Historical Atmospheric Variables from the …
The rapid development of digital tools for crop management offers new opportunities to
mitigate the effects of climate change on agriculture. This study examines the Normalized …
mitigate the effects of climate change on agriculture. This study examines the Normalized …
Exploring different time-series-transformer (tst) architectures: A case study in battery life prediction for electric vehicles (evs)
N Sitapure, A Kulkarni - ar** new battery materials and chemistries. However …
In-season major crop-type identification for US cropland from Landsat images using crop-rotation pattern and progressive data classification
Crop type information at the field level is vital for many types of research and applications.
The United States Department of Agriculture (USDA) provides information on crop types for …
The United States Department of Agriculture (USDA) provides information on crop types for …
[HTML][HTML] Reconstruction of vegetation index time series based on self-weighting function fitting from curve features
W Zhu, B He, Z **_with_Soil_Moisture_Active_Passive_SMAP_data_A_case_of_2016_Louisiana_flood/links/59d7f555458515a5bc1ee981/Agriculture-flood-map**-with-Soil-Moisture-Active-Passive-SMAP-data-A-case-of-2016-Louisiana-flood.pdf" data-clk="hl=vi&sa=T&oi=gga&ct=gga&cd=9&d=9777405979447594795&ei=0Fi_Z6LlKoC96rQP8aHjuQY" data-clk-atid="Kw_Bde9SsIcJ" target="_blank">[PDF] researchgate.net
Agriculture flood map** with Soil Moisture Active Passive (SMAP) data: A case of 2016 Louisiana flood
Agriculture is one of the most affected sectors by the flood. Spaceborn remote sensing is
widely used for flood map** and monitoring in recent decades. Some applications such as …
widely used for flood map** and monitoring in recent decades. Some applications such as …