Crop Data Retrieval Using Earth Observation Data to Support Agricultural Water Management

Abstract

Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations, which can be acquired during the crop growth season for a given region using earth observation (EO) satellite time series. In addition, a relationship between crop coefficients and the NDVI can be established to allow for crop evapotranspiration estimation. The main objective of the present work was to develop a methodology, and its implementation in an application software, to extract crop parameters from EO image time series for a set of parcels of different types of crops, to be used as input data for a soil water balance model to compute IWR. The methodology was tested at two distinct test sites, the Vila Franca de Xira (site I) and Vila Velha de Ródão (site II) municipalities, Portugal. Landsat-7 and-8 images acquired from April to October 2013 were used for site I, while SPOT-5 Take-5 images from April to September 2015 were considered for site II. EO data were used to estimate the basal crop coefficients, planting dates, and crops growth stage lengths. Based on crop, soil and meteorological data, the IWR for the main crops of both test regions were estimated using the IrrigRotation model. The crop coefficient curves obtained from the EO data proved to be reliable for IWR estimation.

Translating the agricultural N surplus hazard into groundwater pollution risk: Implications for effectiveness of mitigation measures in nitrate vulnerable zones

“…S4b) and then the spatial interpolation of the climatic data was performed for the 1986-2016 period with the Interpolator software (Rolim et al, 2011) using Inverse Distance Weighting. The spatial distribution of crop areas obtained from statistical data (INE, 2018), was validated by Earth observation images (Rolim et al, 2019). Gross irrigation depths (IRR) were obtained from average measured water consumption data presented in Sousa and Morais (2011) for 2006 Table 4 Classification of the Global Risk Index and the factors contributing for the aquifer pollution risk (the hazard and the specific and intrinsic vulnerabilities).…”

Registered Amendments in the Structure of Betula Pendula Roth Leaf Blades as Adaptation to Polluted Environment

“…Therefore enhancing of NDVI diminished the adverse effect of air pollutants (Gautam and Brema, 2019). According to Rolim et al, (2019), NDVI is responsive to changes in both the chlorophyll content and the intracellular spaces in the spongy mesophyll plant leaves. Consequently, further investigations and gathering data for leaf blade structure alterations under different conditions are promising for extrapolation of remote sensing data.…”

Development of a Low-Cost Open-Source Platform Connected to the Internet for Acquisition of Environmental Parameters and Soil Moisture

“…The subsystems (communication and monitoring/control) are independent and, therefore, there will be no damage to the functioning of irrigation in case of a temporary lack of communication with the internet. Another benefit of having a communication infrastructure is making decisions in a shorter time if necessary (Rolim et al, 2019). The employed module has a 5 V supply voltage.…”