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Autor: Urs Schulthess
Wheat yield estimation from UAV platform based on multi-modal remote sensing data fusion
Urs Schulthess Azam Lashkari (2022)
Artículo
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RELIEF UNMANNED AERIAL VEHICLES WINTER WHEAT YIELDS
Crop types of the Yaqui Valley during the 2016-17 winter growing season
Urs Schulthess Iván Ortíz-Monasterios (2021)
Our study region is located in the northwest of Mexico, in the Yaqui Valley, where most farmers predominantly grow crops under irrigated conditions during the winter months. Sowing typically starts in late October. Dry bean is one of the first crops to be sown (Table 1). Wheat, the dominant crop, is usually sown between mid-November and mid-December, however, some fields are sown as late as early January. Among the other eight crops that will be referred to as minority crops in this study, maize and chickpea were the most important ones. The last crop to be sown during the winter months is safflower. It is typically sown in March or April, after field pea or fallow. Sen2-Agri allows for the identification of only one crop per field and season, we therefore did not include it in the study. The Yaqui Valley also is an important producer of various types of vegetables. Their production is quite dynamic. The growth cycle of vegetables tends to be quite short and often, they do not have a distinct seasonality. Broccoli and different types of tomatoes are the most important ones. We also included some permanent crops such as asparagus, alfalfa and pasture (grassland), as well as tree fruit and nuts, categorized as orchard. Alfalfa and pasture were categorized as forage crop. The planners of the Yaqui Valley irrigation scheme had divided the land into blocks, measuring 2 by 2 km. The blocks were then further subdivided into 40 lots, each measuring 10 ha. The blocks and lots were numbered consecutively. At the beginning of the winter growing season, the irrigation district, called Distrito del Riego del Rio Yaqui, requires each farmer to declare the type of crop they plan to grow on each irrigated lot. The irrigation district kindly shared those data with us. Most farmers do not follow the initial lot boundaries anymore. Some lots got split up, whereas in the majority of cases, lots were merged. If farmers had merged several lots, they would use the number of their first lot as an anchor and also report the area of the entire field, i.e., the merged lots, that was planted with the same crop. This then allowed us to visually match the reported data with the crop fields. Based on the farmer's declarations, which include the crop type, block, lot and field size, the crop types were then assigned to the field boundaries which had been manually drawn beforehand, using a Sentinel-2 image from March 13, 2017 as a background. This resulted in 6048 labeled fields. The average area of a field was 11.5 ha.
Dataset
Daily weather data for International Wheat Improvement Network (IWIN) locations based on AgERA5
Carlo Montes Urs Schulthess (2021)
Daily weather data from 1979 to 2019. The variables included are precipitation (mm), relative humidity max, relative humidity min, short wave radiation (MJ/m2/d), temperature max (°C), temperature min (°C), vapor pressure deficit max (kPa), wind speed 2m (m/s) and wind speed 10m (m/s). Data are world wide with a resolution of 0.1° x 0.1°.
Dataset
Daily wheat canopy temperature and meteorological data for IWIN locations
Carlo Montes Urs Schulthess Azam lashkari (2021)
Dataset of daily canopy temperature and meteorological data from the ECMWF’s AgERA5 product for the period 1979 though 2020, and for 785 points belonging to the International Wheat Improvement Network (IWIN). Wheat canopy temperature was estimated from a linear model using maximum air temperature, vapor pressure deficit, and solar radiation as inputs. The model was calibrated using multiple measurements of wheat canopy temperature.
Dataset
Cascading socio-environmental sustainability risks of agricultural export miracle in Peru
Azam Lashkari Masoud Irannezhad Urs Schulthess (2022)
Artículo
Andean Trade Preference Act Alternative Development CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DEVELOPMENT GROUNDWATER SUSTAINABILITY WATER SCARCITY
Estimating wheat canopy temperature from meteorological data: a multi-location approach
Carlo Montes Azam Lashkari Urs Schulthess (2021)
Objeto de congreso
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CANOPY WHEAT TEMPERATURE METEOROLOGICAL OBSERVATIONS
An ERA5-based global dataset of vapor pressure deficit at maximum air temperature over land
Carlo Montes Urs Schulthess Azam lashkari (2021)
Global data set of daily vapor pressure deficit calculated at time of maximum temperture from hourly ECMWF ERA5 air temperature and dewpoint temperature. The dataset has a global coverage over land, daily time step, from 1979 through 2020, and files are provided yearly.
Dataset
Satellite imagery for high-throughput phenotyping in breeding plots
Francisco Pinto Mainassara Zaman-Allah Matthew Paul Reynolds Urs Schulthess (2023)
Artículo
Optimized Soil Adjusted Vegetation Index CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HIGH-THROUGHPUT PHENOTYPING SATELLITES WHEAT MAIZE BREEDING NORMALIZED DIFFERENCE VEGETATION INDEX
Urs Schulthess Gerald Blasch Francisco Pinto Mainassara Zaman-Allah (2023)
Objeto de congreso
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SATELLITE OBSERVATION PHENOTYPING SATELLITE IMAGERY MONITORING
Ahmed Kayad Francelino Rodrigues Marco Sozzi Francesco Pirotti Francesco Marinello Urs Schulthess Bruno Gerard Marie Weiss (2022)
Artículo
PROSAIL Vegetation Indices Field Variability Digital Farming CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PRECISION AGRICULTURE MAIZE GRAIN YIELD BIOMASS VEGETATION VEGETATION INDEX