A machine learning approach for accurate crop type map** using combined SAR and optical time series data
A country's food needs mainly depend upon its agriculture resources and require reliable
information related to crop health, distribution, and acreage estimation to manage and …
information related to crop health, distribution, and acreage estimation to manage and …
Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review
Precision agriculture (PA) has great potential to increase agricultural productivity and
profitability while reducing input costs and environmental impacts. Within PA, site‐specific …
profitability while reducing input costs and environmental impacts. Within PA, site‐specific …
Identification of soil type in Pakistan using remote sensing and machine learning
Soil study plays a significant role in the cultivation of crops. To increase the productivity of
any crop, one must know the soil type and properties of that soil. The conventional soil type …
any crop, one must know the soil type and properties of that soil. The conventional soil type …
Change point estimation of deciduous forest land surface phenology
Dramatic phenological shifts and ecosystem responses of deciduous forests to global
climate change have been reported around the world. Land Surface Phenology (LSP) …
climate change have been reported around the world. Land Surface Phenology (LSP) …
Performance of GNSS-R GLORI data for biomass estimation over the Landes forest
Abstract The Above-Ground Biomass (AGB) is a key parameter used for the modeling of the
carbon cycle. The aim of this study is to make an experimental assessment of the sensitivity …
carbon cycle. The aim of this study is to make an experimental assessment of the sensitivity …
Forecasting of cereal yields in a semi-arid area using the simple algorithm for yield estimation (SAFY) agro-meteorological model combined with optical SPOT/HRV …
In semi-arid areas characterized by frequent drought events, there is often a strong need for
an operational grain yield forecasting system, to help decision-makers with the planning of …
an operational grain yield forecasting system, to help decision-makers with the planning of …
Backscattering signatures at Ka, Ku, C and S bands from low resolution radar altimetry over land
Radar backscattering coefficients from synthetic aperture radars and scatterometers are
commonly used to characterize the land surface properties and monitor their temporal …
commonly used to characterize the land surface properties and monitor their temporal …
[BUCH][B] Agricultural meteorology and climatology
B Pacher, B Lalic, J Eitzinger, A Dalla Marta… - 2018 - library.oapen.org
Agricultural Meteorology and Climatology is an introductory textbook for meteorology and
climatology courses at faculties of agriculture and for agrometeorology and agroclimatology …
climatology courses at faculties of agriculture and for agrometeorology and agroclimatology …
An intelligent wireless system for field ecology monitoring and forest fire warning
Y Zheng, Y Zhao, W Liu, S Liu, R Yao - Sensors, 2018 - mdpi.com
Based on Internet-of-Things and multi-sensor technology, an intelligent wireless monitoring
system was developed to obtain field ecological parameters and provide forest fire warning …
system was developed to obtain field ecological parameters and provide forest fire warning …
Fusion of SAR and Multi-spectral Time Series for Determination of Water Table Depth and Lake Area in Peatlands
K Krzepek, J Schmidt, D Iwaszczuk - PFG–Journal of Photogrammetry …, 2022 - Springer
Peatlands as natural carbon sinks have a major impact on the climate balance and should
therefore be monitored and protected. The hydrology of the peatland serves as an indicator …
therefore be monitored and protected. The hydrology of the peatland serves as an indicator …