A machine learning approach for accurate crop type map** using combined SAR and optical time series data

R Tufail, A Ahmad, MA Javed, SR Ahmad - Advances in Space Research, 2022 - Elsevier
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 …

Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review

A Ali, MU Hassan, HP Kaul - Journal of Agronomy and Crop …, 2024 - Wiley Online Library
Precision agriculture (PA) has great potential to increase agricultural productivity and
profitability while reducing input costs and environmental impacts. Within PA, site‐specific …

Identification of soil type in Pakistan using remote sensing and machine learning

YU Haq, M Shahbaz, HMS Asif, A Al-Laith… - PeerJ Computer …, 2022 - peerj.com
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 …

Change point estimation of deciduous forest land surface phenology

Y **e, AM Wilson - Remote Sensing of Environment, 2020 - Elsevier
Dramatic phenological shifts and ecosystem responses of deciduous forests to global
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

M Zribi, D Guyon, E Motte, S Dayau… - International Journal of …, 2019 - Elsevier
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 …

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 …

A Chahbi Bellakanji, M Zribi, Z Lili-Chabaane… - Sensors, 2018 - mdpi.com
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 …

Backscattering signatures at Ka, Ku, C and S bands from low resolution radar altimetry over land

F Frappart, F Blarel, F Papa, C Prigent, É Mougin… - Advances in Space …, 2021 - Elsevier
Radar backscattering coefficients from synthetic aperture radars and scatterometers are
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 …

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 …

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 …